Pathum Dilshan·Jul 24I Built Three Reinforcement Learning Agents. The “Improved” Ones Lost.What five random seeds taught me about variance, baselines, and why a higher average return can still mean a worse algorithm
Jik Alvin·Nov 5, 2025Mastering Oware: From Human Strategy to Artificial IntelligenceOware (also known as Awari) is one of the more popular variants of mancala. It is a strategy game played on a board of twelve pits (six on…A response icon1A response icon1
Swagat K·Jul 6, 2025Implementing A3C Algorithm with Tensorflow 2.xUnderstanding Actor-Critic Models: A2C and the Significance of A3C
Jerry John Thomas·Sep 8, 2023RL Series — Ep 8A3C and A2C. The eighth part of the RL episodes. If you made it here kudos⁵. Short Notes, not intended for complete beginners. You can…
Tony Leonard·Aug 29, 2023Demystifying Asynchronous Advantage Actor-Critic (A3C) and its Role in Advancing AIIn the ever-evolving landscape of artificial intelligence (AI), one algorithm that has gained significant attention for its prowess in…
HRajoliN·Jan 1, 2022Semantic Similarity; A novel metric to measure relatedness between two different agents in Deep…Traditionally, the similarity between two agents that interacts with their environments has been considered with heuristic distance-based…
김희규·Aug 26, 2020Udacity Deep RL Nanodegree — Actor Critic Methodsactor-critic은 value-based와 policy-based의 중간이다. value-based를 이용해 policy-based를 개선하는 방식이다
Vishnu Vijayan PV·Aug 3, 2020Deep Reinforcement Learning: Value Functions, DQN, Actor-Critic method, Backpropagation through…Deep Reinforcement Learning is a new research track within the field of Machine Learning. While neural networks are responsible for…
InBRQ TechbyBRQ Tech·May 8, 2019A máquina aprendendo a jogar DOOM, A3CEssa é uma ideia de como uma máquina pode aprender a jogar doom usando o algoritmo Asynchronous Advantage Actor-Critic (A3C), seguindo o…
NUE Agency·Nov 4, 2018The Brand is StrongHip-hop runs the world, it’s a fact. Since I was in high school, artists like Nas, Tupac, and Puffy influenced what I liked, what I wore…
