upload lunarlander

Author: MorvanZhou

Reinforcement_learning_TUT/experiments/Sovle_LunarLander/DQN.py

@@ -10,13 +10,11 @@
 
 
 import gym
+from gym import wrappers
 from DuelingDQNPrioritizedReplay import DuelingDQNPrioritizedReplay
-from DQN import DeepQNetwork
-import numpy as np
 
 env = gym.make('LunarLander-v2')
 # env = env.unwrapped
-# env = env.wrappers.Monitor(env, './tmp/lander')
 env.seed(1)
 
 N_A = env.action_space.n
@@ -32,9 +30,6 @@
 HIDDEN = [400, 400]
 RENDER = True
 
-# RL = DeepQNetwork(N_A, N_S, LR, GAMMA, E_GREEDY,TARGET_REP_ITER, MEMORY_CAPACITY, BATCH_SIZE,
-#                   e_greedy_increment=E_INCREMENT, hidden=HIDDEN)
-
 RL = DuelingDQNPrioritizedReplay(
     n_actions=N_A, n_features=N_S, learning_rate=LR, e_greedy=E_GREEDY, reward_decay=GAMMA,
     hidden=HIDDEN, batch_size=BATCH_SIZE, replace_target_iter=TARGET_REP_ITER,
@@ -71,5 +66,3 @@
         s = s_
         total_steps += 1
 
-env.close()
-# gym.upload('/tmp/lander', api_key='sk_AWe1C0dYQWicl5kXwNrRUw')