Reproducibility in the Control of Autonomous Mobility-on-Demand Systems.

James Harrison

Xinling Li 0001 Meshal Alharbi Daniele Gammelli James Harrison Filipe Rodrigues 0001 Maximilian Schiffer Marco Pavone 0001 Emilio Frazzoli Jinhua Zhao 0001 Gioele Zardini Reproducibility in the Control of Autonomous Mobility-on-Demand Systems. 2026 1428-1447 42 IEEE Trans. Robotics https://doi.org/10.1109/TRO.2026.3666153 db/journals/trob/trob42.html#LiAGHRSPFZZ26 streams/journals/trob

Mikkel Jordahn Jonas Vestergaard Jensen James Harrison Michael Riis Andersen Mikkel N. Schmidt Practical Deep Heteroskedastic Regression. 2026 March abs/2603.01750 CoRR https://doi.org/10.48550/arXiv.2603.01750 db/journals/corr/corr2603.html#abs-2603-01750 streams/journals/corr

Leonard S. Pleiss James Harrison Maximilian Schiffer Target-Aligned Reinforcement Learning. 2026 March abs/2603.29501 CoRR https://doi.org/10.48550/arXiv.2603.29501 db/journals/corr/corr2603.html#abs-2603-29501 streams/journals/corr

Yinlam Chow Guy Tennenholtz Ted Yun James Harrison Arthur Gretton André Barreto 0001 Bo Dai 0001 Spectral Souping: A Unified Framework for Online Preference Alignment. 2026 May abs/2605.20408 CoRR https://doi.org/10.48550/arXiv.2605.20408 db/journals/corr/corr2605.html#abs-2605-20408 streams/journals/corr

Kun Jin James Harrison Jiawei Li Sihan Liu Jiayi Liu Randolph Linderman Yuening Li Arnab Bhadury Sourabh Prakash Bansod Liang Liu Jasper Snoek Efficient Analytic Uncertainty Quantification for Multi-Modal Regression. 2026 June abs/2606.25188 CoRR https://doi.org/10.48550/arXiv.2606.25188 db/journals/corr/corr2606.html#abs-2606-25188 streams/journals/corr

Xiaolong Huang Benjamin Thérien James Harrison Eugene Belilovsky Efficient Long-Horizon Learning for Learned Optimization. 2026 July abs/2607.06772 CoRR https://doi.org/10.48550/arXiv.2607.06772 db/journals/corr/corr2607.html#abs-2607-06772 streams/journals/corr

Paul Brunzema Mikkel Jordahn John Willes Sebastian Trimpe Jasper Snoek James Harrison Bayesian Optimization via Continual Variational Last Layer Training. 2025 ICLR https://openreview.net/forum?id=1jcnvghayD conf/iclr/2025 db/conf/iclr/iclr2025.html#BrunzemaJWTSH25 Carolin Schmidt Daniele Gammelli James Harrison Marco Pavone 0001 Filipe Rodrigues 0001 Offline Hierarchical Reinforcement Learning via Inverse Optimization. 2025 ICLR https://openreview.net/forum?id=dTPz4rEDok conf/iclr/2025 db/conf/iclr/iclr2025.html#SchmidtGH0025

Luigi Tresca Carolin Schmidt James Harrison Filipe Rodrigues 0001 Gioele Zardini Daniele Gammelli Marco Pavone 0001 Robo-taxi Fleet Coordination at Scale via Reinforcement Learning. 2025 April abs/2504.06125 CoRR https://doi.org/10.48550/arXiv.2504.06125 db/journals/corr/corr2504.html#abs-2504-06125 streams/journals/corr

Xinling Li 0001 Meshal Alharbi Daniele Gammelli James Harrison Filipe Rodrigues 0001 Maximilian Schiffer Marco Pavone 0001 Emilio Frazzoli Jinhua Zhao 0001 Gioele Zardini Reproducibility in the Control of Autonomous Mobility-on-Demand Systems. 2025 June abs/2506.07345 CoRR https://doi.org/10.48550/arXiv.2506.07345 db/journals/corr/corr2506.html#abs-2506-07345 streams/journals/corr

John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone 0001 Steven L. Waslander Bayesian Embeddings for Few-Shot Open World Recognition. 1513-1529 2024 March 46 IEEE Trans. Pattern Anal. Mach. Intell. 3 https://doi.org/10.1109/TPAMI.2022.3201541 db/journals/pami/pami46.html#WillesHHFPW24

Avi Singh John D. Co-Reyes Rishabh Agarwal Ankesh Anand Piyush Patil Xavier Garcia Peter J. Liu James Harrison Jaehoon Lee 0001 Kelvin Xu Aaron T. Parisi Abhishek Kumar Alexander A. Alemi Alex Rizkowsky Azade Nova Ben Adlam Bernd Bohnet Gamaleldin Fathy Elsayed Hanie Sedghi Igor Mordatch Isabelle Simpson Izzeddin Gur Jasper Snoek Jeffrey Pennington Jiri Hron Kathleen Kenealy Kevin Swersky Kshiteej Mahajan Laura Culp Lechao Xiao Maxwell L. Bileschi Noah Constant Roman Novak Rosanne Liu Tris Warkentin Yundi Qian Yamini Bansal Ethan Dyer Behnam Neyshabur Jascha Sohl-Dickstein Noah Fiedel Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=lNAyUngGFK db/journals/tmlr/tmlr2024.html#SinghCAAPGLH0XP24

James Harrison John Willes Jasper Snoek Variational Bayesian Last Layers. 2024 ICLR https://openreview.net/forum?id=Sx7BIiPzys conf/iclr/2024 db/conf/iclr/iclr2024.html#HarrisonWS24 Siddharth Nayak Adelmo Morrison Orozco Marina Ten Have Jackson Zhang Vittal Thirumalai Darren Chen Aditya Kapoor Eric Robinson Karthik Gopalakrishnan 0002 James Harrison Anuj Mahajan Brian Ichter Hamsa Balakrishnan Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/7d6e85e88495104442af94c98e899659-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#NayakOHZTCKR0HM24 Allan Zhou Chelsea Finn James Harrison Universal Neural Functionals. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/bd20595c8e5802ba40ed418f4ec116f0-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#ZhouFH24

Allan Zhou Chelsea Finn James Harrison Universal Neural Functionals. 2024 abs/2402.05232 CoRR https://doi.org/10.48550/arXiv.2402.05232 db/journals/corr/corr2402.html#abs-2402-05232

Tobias Enders James Harrison Maximilian Schiffer Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts. 2024 abs/2402.09992 CoRR https://doi.org/10.48550/arXiv.2402.09992 db/journals/corr/corr2402.html#abs-2402-09992

James Harrison John Willes Jasper Snoek Variational Bayesian Last Layers. 2024 abs/2404.11599 CoRR https://doi.org/10.48550/arXiv.2404.11599 db/journals/corr/corr2404.html#abs-2404-11599

Siddharth Nayak Adelmo Morrison Orozco Marina Ten Have Vittal Thirumalai Jackson Zhang Darren Chen Aditya Kapoor Eric Robinson Karthik Gopalakrishnan 0002 James Harrison Brian Ichter Anuj Mahajan Hamsa Balakrishnan Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments. 2024 abs/2407.10031 CoRR https://doi.org/10.48550/arXiv.2407.10031 db/journals/corr/corr2407.html#abs-2407-10031 streams/journals/corr

Carolin Schmidt Daniele Gammelli James Harrison Marco Pavone 0001 Filipe Rodrigues 0001 Offline Hierarchical Reinforcement Learning via Inverse Optimization. 2024 abs/2410.07933 CoRR https://doi.org/10.48550/arXiv.2410.07933 db/journals/corr/corr2410.html#abs-2410-07933 streams/journals/corr

Teodor Alexandru Szente James Harrison Mihai Zanfir Cristian Sminchisescu Applications of fractional calculus in learned optimization. 2024 abs/2411.14855 CoRR https://doi.org/10.48550/arXiv.2411.14855 db/journals/corr/corr2411.html#abs-2411-14855 streams/journals/corr

Paul Brunzema Mikkel Jordahn John Willes Sebastian Trimpe Jasper Snoek James Harrison Bayesian Optimization via Continual Variational Last Layer Training. 2024 abs/2412.09477 CoRR https://doi.org/10.48550/arXiv.2412.09477 db/journals/corr/corr2412.html#abs-2412-09477 streams/journals/corr

James Blundell Charlotte Collins Rod Sears Tassos Plioutsias John Huddlestone Don Harris James Harrison Anthony Kershaw Paul Harrison Phil Lamb Multivariate Analysis of Gaze Behavior and Task Performance Within Interface Design Evaluation. 875-884 2023 October 53 IEEE Trans. Hum. Mach. Syst. 5 https://doi.org/10.1109/THMS.2023.3305715 db/journals/thms/thms53.html#BlundellCSPHHHKHL23

Daniele Gammelli James Harrison Kaidi Yang Marco Pavone 0001 Filipe Rodrigues 0001 Francisco C. Pereira Graph Reinforcement Learning for Network Control via Bi-Level Optimization. 10587-10610 2023 ICML https://proceedings.mlr.press/v202/gammelli23a.html conf/icml/2023 db/conf/icml/icml2023.html#GammelliHY00P23 Boris Ivanovic James Harrison Marco Pavone 0001 Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning. 7786-7793 2023 ICRA https://doi.org/10.1109/ICRA48891.2023.10161155 conf/icra/2023 db/conf/icra/icra2023.html#IvanovicHP23 Tobias Enders James Harrison Marco Pavone 0001 Maximilian Schiffer Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. 1284-1296 2023 L4DC https://proceedings.mlr.press/v211/enders23a.html conf/l4dc/2023 db/conf/l4dc/l4dc2023.html#EndersH0S23 Oscar Li James Harrison Jascha Sohl-Dickstein Virginia Smith Luke Metz Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/8e69a97cbdd91ac0808603fa589d6c17-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#LiHSSM23

Oscar Li James Harrison Jascha Sohl-Dickstein Virginia Smith Luke Metz Noise-Reuse in Online Evolution Strategies. 2023 abs/2304.12180 CoRR https://doi.org/10.48550/arXiv.2304.12180 db/journals/corr/corr2304.html#abs-2304-12180

Avi Singh John D. Co-Reyes Rishabh Agarwal Ankesh Anand Piyush Patil Xavier Garcia Peter J. Liu James Harrison Jaehoon Lee 0001 Kelvin Xu Aaron Parisi Abhishek Kumar Alex Alemi Alex Rizkowsky Azade Nova Ben Adlam Bernd Bohnet Gamaleldin F. Elsayed Hanie Sedghi Igor Mordatch Isabelle Simpson Izzeddin Gur Jasper Snoek Jeffrey Pennington Jiri Hron Kathleen Kenealy Kevin Swersky Kshiteej Mahajan Laura Culp Lechao Xiao Maxwell L. Bileschi Noah Constant Roman Novak Rosanne Liu Tris Warkentin Yundi Qian Yamini Bansal Ethan Dyer Behnam Neyshabur Jascha Sohl-Dickstein Noah Fiedel Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. 2023 abs/2312.06585 CoRR https://doi.org/10.48550/arXiv.2312.06585 db/journals/corr/corr2312.html#abs-2312-06585

Thomas Lew Apoorva Sharma James Harrison Andrew Bylard Marco Pavone 0001 Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework. 2888-2907 2022 38 IEEE Trans. Robotics 5 https://doi.org/10.1109/TRO.2022.3154715 db/journals/trob/trob38.html#LewSHBP22

Rohan Sinha James Harrison Spencer M. Richards Marco Pavone 0001 Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty. 906-913 2022 ACC https://doi.org/10.23919/ACC53348.2022.9867457 conf/amcc/2022 db/conf/amcc/amcc2022.html#SinhaHRP22 Luke Metz C. Daniel Freeman James Harrison Niru Maheswaranathan Jascha Sohl-Dickstein Practical Tradeoffs between Memory, Compute, and Performance in Learned Optimizers. 142-164 2022 CoLLAs https://proceedings.mlr.press/v199/metz22a.html conf/collas/2022 db/conf/collas/collas2022.html#MetzFHMS22 Daniele Gammelli Kaidi Yang James Harrison Filipe Rodrigues 0001 Francisco C. Pereira Marco Pavone 0001 Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. 2913-2923 2022 KDD https://doi.org/10.1145/3534678.3539180 conf/kdd/2022 db/conf/kdd/kdd2022.html#GammelliYH0PP22 James Harrison Luke Metz Jascha Sohl-Dickstein A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/184c1e18d00d7752805324da48ad25be-Abstract-Conference.html db/conf/nips/neurips2022.html#HarrisonMS22

Daniele Gammelli Kaidi Yang James Harrison Filipe Rodrigues 0001 Francisco C. Pereira Marco Pavone 0001 Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. 2022 abs/2202.07147 CoRR https://arxiv.org/abs/2202.07147 db/journals/corr/corr2202.html#abs-2202-07147

Luke Metz C. Daniel Freeman James Harrison Niru Maheswaranathan Jascha Sohl-Dickstein Practical tradeoffs between memory, compute, and performance in learned optimizers. 2022 abs/2203.11860 CoRR https://doi.org/10.48550/arXiv.2203.11860 db/journals/corr/corr2203.html#abs-2203-11860

James Harrison Luke Metz Jascha Sohl-Dickstein A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases. 2022 abs/2209.11208 CoRR https://doi.org/10.48550/arXiv.2209.11208 db/journals/corr/corr2209.html#abs-2209-11208

Boris Ivanovic James Harrison Marco Pavone 0001 Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning. 2022 abs/2209.11820 CoRR https://doi.org/10.48550/arXiv.2209.11820 db/journals/corr/corr2209.html#abs-2209-11820

Luke Metz James Harrison C. Daniel Freeman Amil Merchant Lucas Beyer James Bradbury Naman Agrawal Ben Poole Igor Mordatch Adam Roberts Jascha Sohl-Dickstein VeLO: Training Versatile Learned Optimizers by Scaling Up. 2022 abs/2211.09760 CoRR https://doi.org/10.48550/arXiv.2211.09760 db/journals/corr/corr2211.html#abs-2211-09760

Rohan Sinha James Harrison Spencer M. Richards Marco Pavone 0001 Adaptive Robust Model Predictive Control via Uncertainty Cancellation. 2022 abs/2212.01371 CoRR https://doi.org/10.48550/arXiv.2212.01371 db/journals/corr/corr2212.html#abs-2212-01371

Louis Kirsch James Harrison Jascha Sohl-Dickstein Luke Metz General-Purpose In-Context Learning by Meta-Learning Transformers. 2022 abs/2212.04458 CoRR https://doi.org/10.48550/arXiv.2212.04458 db/journals/corr/corr2212.html#abs-2212-04458

Tobias Enders James Harrison Marco Pavone 0001 Maximilian Schiffer Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. 2022 abs/2212.07313 CoRR https://doi.org/10.48550/arXiv.2212.07313 db/journals/corr/corr2212.html#abs-2212-07313

Sandeep Chinchali Apoorva Sharma James Harrison Amine Elhafsi Daniel Kang 0001 Evgenya Pergament Eyal Cidon Sachin Katti Marco Pavone 0001 Network offloading policies for cloud robotics: a learning-based approach. 997-1012 2021 45 Auton. Robots 7 https://doi.org/10.1007/s10514-021-09987-4 db/journals/arobots/arobots45.html#ChinchaliSHEKPC21

Daniele Gammelli Kaidi Yang James Harrison Filipe Rodrigues 0001 Francisco C. Pereira Marco Pavone 0001 Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. 2996-3003 2021 CDC https://doi.org/10.1109/CDC45484.2021.9683135 conf/cdc/2021 db/conf/cdc/cdc2021.html#GammelliYH0PP21 Annie Xie James Harrison Chelsea Finn Deep Reinforcement Learning amidst Continual Structured Non-Stationarity. 11393-11403 2021 ICML http://proceedings.mlr.press/v139/xie21c.html conf/icml/2021 db/conf/icml/icml2021.html#XieHF21 Robert Dyro James Harrison Apoorva Sharma Marco Pavone 0001 Particle MPC for Uncertain and Learning-Based Control. 7127-7134 2021 IROS https://doi.org/10.1109/IROS51168.2021.9635967 conf/iros/2021 db/conf/iros/iros2021.html#DyroHSP21

Robert Dyro James Harrison Apoorva Sharma Marco Pavone 0001 Particle MPC for Uncertain and Learning-Based Control. 2021 abs/2104.02213 CoRR https://arxiv.org/abs/2104.02213 db/journals/corr/corr2104.html#abs-2104-02213

Rohan Sinha James Harrison Spencer M. Richards Marco Pavone 0001 Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty. 2021 abs/2104.08261 CoRR https://arxiv.org/abs/2104.08261 db/journals/corr/corr2104.html#abs-2104-08261

John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone 0001 Steven Lake Waslander Bayesian Embeddings for Few-Shot Open World Recognition. 2021 abs/2107.13682 CoRR https://arxiv.org/abs/2107.13682 db/journals/corr/corr2107.html#abs-2107-13682

Thomas Lew Apoorva Sharma James Harrison Edward Schmerling Marco Pavone 0001 On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation. 2021 abs/2111.06084 CoRR https://arxiv.org/abs/2111.06084 db/journals/corr/corr2111.html#abs-2111-06084

James Harrison Apoorva Sharma Chelsea Finn Marco Pavone 0001 Continuous Meta-Learning without Tasks. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/cc3f5463bc4d26bc38eadc8bcffbc654-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#HarrisonSFP20

Annie Xie James Harrison Chelsea Finn Deep Reinforcement Learning amidst Lifelong Non-Stationarity. 2020 abs/2006.10701 CoRR https://arxiv.org/abs/2006.10701 db/journals/corr/corr2006.html#abs-2006-10701

Thomas Lew Apoorva Sharma James Harrison Marco Pavone 0001 Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework. 2020 abs/2008.11700 CoRR https://arxiv.org/abs/2008.11700 db/journals/corr/corr2008.html#abs-2008-11700

Somrita Banerjee James Harrison P. Michael Furlong Marco Pavone 0001 Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics. 2020 abs/2009.10191 CoRR https://arxiv.org/abs/2009.10191 db/journals/corr/corr2009.html#abs-2009-10191

Apoorva Sharma James Harrison Matthew Tsao Marco Pavone 0001 Robust and Adaptive Planning under Model Uncertainty. 410-418 2019 ICAPS https://ojs.aaai.org/index.php/ICAPS/article/view/3505 conf/aips/2019 db/conf/aips/icaps2019.html#SharmaHTP19 Boris Ivanovic James Harrison Apoorva Sharma Mo Chen 0001 Marco Pavone 0001 BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. 15-21 2019 ICRA https://doi.org/10.1109/ICRA.2019.8794206 conf/icra/2019 db/conf/icra/icra2019.html#IvanovicHSCP19 Sandeep Chinchali Apoorva Sharma James Harrison Amine Elhafsi Daniel Kang 0001 Evgenya Pergament Eyal Cidon Sachin Katti Marco Pavone 0001 Network Offloading Policies for Cloud Robotics: A Learning-Based Approach. 2019 Robotics: Science and Systems https://doi.org/10.15607/RSS.2019.XV.063 conf/rss/2019 db/conf/rss/rss2019.html#ChinchaliSHEKPC19

Apoorva Sharma James Harrison Matthew Tsao Marco Pavone 0001 Robust and Adaptive Planning under Model Uncertainty. 2019 abs/1901.02577 CoRR http://arxiv.org/abs/1901.02577 db/journals/corr/corr1901.html#abs-1901-02577

Sandeep Chinchali Apoorva Sharma James Harrison Amine Elhafsi Daniel Kang 0001 Evgenya Pergament Eyal Cidon Sachin Katti Marco Pavone 0001 Network Offloading Policies for Cloud Robotics: a Learning-based Approach. 2019 abs/1902.05703 CoRR http://arxiv.org/abs/1902.05703 db/journals/corr/corr1902.html#abs-1902-05703

James Harrison Apoorva Sharma Chelsea Finn Marco Pavone 0001 Continuous Meta-Learning without Tasks. 2019 abs/1912.08866 CoRR http://arxiv.org/abs/1912.08866 db/journals/corr/corr1912.html#abs-1912-08866

Brian Ichter James Harrison Marco Pavone 0001 Learning Sampling Distributions for Robot Motion Planning. 7087-7094 2018 ICRA https://doi.org/10.1109/ICRA.2018.8460730 conf/icra/2018 db/conf/icra/icra2018.html#IchterHP18 James Harrison Apoorva Sharma Marco Pavone 0001 Meta-learning Priors for Efficient Online Bayesian Regression. 318-337 2018 WAFR https://doi.org/10.1007/978-3-030-44051-0_19 conf/wafr/2018 db/conf/wafr/wafr2018.html#HarrisonSP18

Boris Ivanovic James Harrison Apoorva Sharma Mo Chen 0001 Marco Pavone 0001 BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. 2018 abs/1806.06161 CoRR http://arxiv.org/abs/1806.06161 db/journals/corr/corr1806.html#abs-1806-06161

James Harrison Apoorva Sharma Marco Pavone 0001 Meta-Learning Priors for Efficient Online Bayesian Regression. 2018 abs/1807.08912 CoRR http://arxiv.org/abs/1807.08912 db/journals/corr/corr1807.html#abs-1807-08912

James Harrison Animesh Garg Boris Ivanovic Yuke Zhu Silvio Savarese Li Fei-Fei 0001 Marco Pavone 0001 AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. 437-453 2017 ISRR https://doi.org/10.1007/978-3-030-28619-4_34 conf/isrr/2017 db/conf/isrr/isrr2017.html#HarrisonGIZSFP17

James Harrison Animesh Garg Boris Ivanovic Yuke Zhu Silvio Savarese Li Fei-Fei 0001 Marco Pavone 0001 ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. 2017 abs/1707.04674 CoRR http://arxiv.org/abs/1707.04674 db/journals/corr/corr1707.html#HarrisonGIZSFP17

Brian Ichter James Harrison Marco Pavone 0001 Learning Sampling Distributions for Robot Motion Planning. 2017 abs/1709.05448 CoRR http://arxiv.org/abs/1709.05448 db/journals/corr/corr1709.html#abs-1709-05448

Colin R. Gallacher James Harrison József Kövecses Characterizing device dynamics for haptic manipulation and navigation. 3689-3695 2015 ICRA https://doi.org/10.1109/ICRA.2015.7139711 conf/icra/2015 db/conf/icra/icra2015.html#GallacherHK15 Kevin J. Mitchell Michael J. Becich Jules J. Berman Wendy W. Chapman John R. Gilbertson Dilip Gupta James Harrison Elizabeth Legowski Rebecca S. Crowley Implementation and Evaluation of a Negation Tagger in a Pipeline-based System for Information Extraction from Pathology Reports. 663-667 2004 MedInfo https://doi.org/10.3233/978-1-60750-949-3-663 conf/medinfo/2004 db/conf/medinfo/medinfo2004.html#MitchellBBCGGHL04 Mark Derthick James Harrison Andrew Moore Steven F. Roth Efficient Multi-Object Dynamic Query Histograms. 84-91 1999 conf/infovis/1999 INFOVIS https://doi.org/10.1109/INFVIS.1999.801862 db/conf/infovis/infovis1999.html#DerthickHMR99 Ben Adlam Rishabh Agarwal Naman Agrawal Alexander A. AlemiAlex Alemi Meshal Alharbi Ankesh Anand Michael Riis Andersen Hamsa Balakrishnan Somrita Banerjee Yamini Bansal Sourabh Prakash Bansod André Barreto 0001 Michael J. Becich Eugene Belilovsky Jules J. Berman Lucas Beyer Arnab Bhadury Maxwell L. Bileschi James Blundell Bernd Bohnet James Bradbury Paul Brunzema Andrew Bylard Wendy W. Chapman Darren Chen Mo Chen 0001 Sandeep Chinchali Yinlam Chow Eyal Cidon John D. Co-Reyes Charlotte Collins Noah Constant Laura Culp Bo Dai 0001 Mark Derthick Ethan Dyer Robert Dyro Amine Elhafsi Gamaleldin F. ElsayedGamaleldin Fathy Elsayed Tobias Enders Li Fei-Fei 0001 Noah Fiedel Chelsea Finn Emilio Frazzoli C. Daniel Freeman P. Michael Furlong Colin R. Gallacher Daniele Gammelli Xavier Garcia Animesh Garg John R. Gilbertson Karthik Gopalakrishnan 0002 Arthur Gretton Dilip Gupta Izzeddin Gur Ali Harakeh Don Harris Paul Harrison Marina Ten Have Jiri Hron Xiaolong Huang John Huddlestone Brian Ichter Boris Ivanovic Rebecca S. JacobsonRebecca S. Crowley Jonas Vestergaard Jensen Kun Jin Mikkel Jordahn Daniel Kang 0001 Aditya Kapoor Sachin Katti Kathleen Kenealy Anthony Kershaw Louis Kirsch József Kövecses Abhishek Kumar Phil Lamb Jaehoon Lee 0001 Elizabeth Legowski Thomas Lew Jiawei Li Oscar Li Xinling Li 0001 Yuening Li Randolph Linderman Jiayi Liu Liang Liu Peter J. Liu Rosanne Liu Sihan Liu Anuj Mahajan Kshiteej Mahajan Niru Maheswaranathan Amil Merchant Luke Metz Kevin J. Mitchell Andrew Moore Igor Mordatch Siddharth Nayak Behnam Neyshabur Azade Nova Roman Novak Adelmo Morrison Orozco Aaron ParisiAaron T. Parisi Piyush Patil Marco Pavone 0001 Jeffrey Pennington Francisco C. Pereira Evgenya Pergament Leonard S. Pleiss Tassos Plioutsias Ben Poole Yundi Qian Spencer M. Richards Alex Rizkowsky Adam Roberts Eric Robinson Filipe Rodrigues 0001 Steven F. Roth Silvio Savarese Maximilian Schiffer Edward Schmerling Carolin Schmidt Mikkel N. Schmidt Rod Sears Hanie Sedghi Apoorva Sharma Isabelle Simpson Avi Singh Rohan Sinha Cristian Sminchisescu Virginia Smith Jasper Snoek Jascha Sohl-Dickstein Kevin Swersky Teodor Alexandru Szente Guy Tennenholtz Benjamin Thérien Vittal Thirumalai Luigi Tresca Sebastian Trimpe Matthew Tsao Tris Warkentin Steven Lake WaslanderSteven L. Waslander John Willes Lechao Xiao Annie Xie Kelvin Xu Kaidi Yang Ted Yun Mihai Zanfir Gioele Zardini Jackson Zhang Jinhua Zhao 0001 Allan Zhou Yuke Zhu