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Functions342 in github.com/MorvanZhou/Reinforcement-learning-with-tensorflow

⨍ Functions 342◇ Types & classes 72
↓ 1 callersMethod_build_nets
(self)
contents/Curiosity_Model/Random_Network_Distillation.py:54
↓ 1 callersMethod_build_nets
(self)
contents/Curiosity_Model/Curiosity.py:53
↓ 1 callersMethod_build_predictor
(self, s_, rand_encode_s_)
contents/Curiosity_Model/Random_Network_Distillation.py:71
↓ 1 callersMethod_discount_and_norm_rewards
(self)
contents/7_Policy_gradient_softmax/RL_brain.py:110
↓ 1 callersMethod_propagate_change
change the sum of priority value in all parent nodes
experiments/Solve_BipedalWalker/DDPG.py:204
↓ 1 callersMethod_propagate_change
change the sum of priority value in all parent nodes
experiments/Solve_LunarLander/DuelingDQNPrioritizedReplay.py:50
↓ 1 callersMethod_r_func
(self, distance)
experiments/Robot_arm/arm_env.py:102
↓ 1 callersMethod_replace_target_params
(self)
experiments/Solve_LunarLander/DuelingDQNPrioritizedReplay.py:255
↓ 1 callersMethod_retrieve
Tree structure and array storage: Tree index: 0 -> storing priority sum / \ 1 2
experiments/Solve_BipedalWalker/DDPG.py:216
↓ 1 callersMethod_retrieve
Tree structure and array storage: Tree index: 0 -> storing priority sum / \ 1 2
experiments/Solve_LunarLander/DuelingDQNPrioritizedReplay.py:62
↓ 1 callersMethod_update
(self)
experiments/2D_car/car_env.py:195
↓ 1 callersMethod_update_arm
(self)
experiments/Robot_arm/arm_env.py:157
↓ 1 callersMethodadd_grad_to_graph
(self, a_grads)
experiments/Solve_BipedalWalker/DDPG.py:93
↓ 1 callersMethodadd_grad_to_graph
(self, a_grads)
experiments/Robot_arm/DDPG.py:108
↓ 1 callersMethodadd_grad_to_graph
(self, a_grads)
experiments/2D_car/DDPG.py:103
↓ 1 callersMethodadd_grad_to_graph
(self, a_grads)
contents/9_Deep_Deterministic_Policy_Gradient_DDPG/DDPG.py:96
↓ 1 callersMethodadd_new_priority
(self, p, data)
experiments/Solve_BipedalWalker/DDPG.py:189
↓ 1 callersMethodadd_new_priority
(self, p, data)
experiments/Solve_LunarLander/DuelingDQNPrioritizedReplay.py:35
↓ 1 callersMethodbatch_update
(self, tree_idx, abs_errors)
contents/5.2_Prioritized_Replay_DQN/RL_brain.py:124
↓ 1 callersFunctionbuild_q_table
(n_states, actions)
contents/1_command_line_reinforcement_learning/treasure_on_right.py:25
↓ 1 callersMethodcheck_state_exist
(self, state)
contents/4_Sarsa_lambda_maze/RL_brain.py:21
↓ 1 callersMethodcheck_state_exist
(self, state)
contents/4_Sarsa_lambda_maze/RL_brain.py:58
↓ 1 callersFunctionchoose_action
(state, q_table)
contents/1_command_line_reinforcement_learning/treasure_on_right.py:34
↓ 1 callersMethodchoose_action
(self, s)
experiments/Solve_BipedalWalker/DDPG.py:89
↓ 1 callersMethodchoose_action
(self, s)
experiments/Solve_BipedalWalker/A3C.py:114
↓ 1 callersMethodchoose_action
(self, s, cell_state)
experiments/Solve_BipedalWalker/A3C_rnn.py:125
↓ 1 callersMethodchoose_action
(self, s)
experiments/Robot_arm/A3C.py:123
↓ 1 callersMethodchoose_action
(self, observation)
contents/5.2_Prioritized_Replay_DQN/RL_brain.py:236
↓ 1 callersMethodchoose_action
(self, observation)
contents/5_Deep_Q_Network/RL_brain.py:126
↓ 1 callersMethodchoose_action
(self, observation)
contents/2_Q_Learning_maze/RL_brain.py:20
↓ 1 callersMethodchoose_action
(self, s)
contents/12_Proximal_Policy_Optimization/simply_PPO.py:115
↓ 1 callersMethodchoose_action
(self, observation)
contents/11_Dyna_Q/RL_brain.py:22
↓ 1 callersMethodchoose_action
(self, s, cell_state)
contents/10_A3C/A3C_RNN.py:117
↓ 1 callersMethodchoose_action
(self, s)
contents/10_A3C/A3C_distributed_tf.py:83
↓ 1 callersMethodchoose_action
(self, s)
contents/10_A3C/A3C_discrete_action.py:99
↓ 1 callersMethodchoose_action
(self, s)
contents/10_A3C/A3C_continuous_action.py:108
↓ 1 callersMethodchoose_action
(self, observation)
contents/5.3_Dueling_DQN/RL_brain.py:122
↓ 1 callersMethodchoose_action
(self, observation)
contents/Curiosity_Model/Random_Network_Distillation.py:110
↓ 1 callersMethodchoose_action
(self, observation)
contents/Curiosity_Model/Curiosity.py:109
↓ 1 callersMethodchoose_action
(self, observation)
contents/5.1_Double_DQN/RL_brain.py:106
↓ 1 callersMethodchoose_action
(self, s)
contents/8_Actor_Critic_Advantage/AC_continue_Pendulum.py:79
↓ 1 callersMethodchoose_action
(self, s)
contents/8_Actor_Critic_Advantage/AC_CartPole.py:78
↓ 1 callersMethodchoose_action
(self, s)
contents/9_Deep_Deterministic_Policy_Gradient_DDPG/DDPG.py:92
↓ 1 callersMethodchoose_action
(self, s)
contents/9_Deep_Deterministic_Policy_Gradient_DDPG/DDPG_update.py:75
↓ 1 callersMethodchoose_action
(self, s)
contents/9_Deep_Deterministic_Policy_Gradient_DDPG/DDPG_update2.py:75
↓ 1 callersFunctioneval
()
experiments/Robot_arm/DDPG.py:264
↓ 1 callersFunctioneval
()
experiments/2D_car/DDPG.py:252
↓ 1 callersFunctionget_env_feedback
(S, A)
contents/1_command_line_reinforcement_learning/treasure_on_right.py:44
↓ 1 callersMethodget_leaf
(self, lower_bound)
experiments/Solve_BipedalWalker/DDPG.py:211
↓ 1 callersMethodget_leaf
(self, lower_bound)
experiments/Solve_LunarLander/DuelingDQNPrioritizedReplay.py:57
↓ 1 callersMethodget_leaf
Tree structure and array storage: Tree index: 0 -> storing priority sum / \ 1 2
contents/5.2_Prioritized_Replay_DQN/RL_brain.py:53
↓ 1 callersMethodget_r_s_
(self, s, a)
contents/11_Dyna_Q/RL_brain.py:85
↓ 1 callersMethodget_v
(self, s)
experiments/Robot_arm/DPPO.py:106
↓ 1 callersMethodget_v
(self, s)
contents/12_Proximal_Policy_Optimization/simply_PPO.py:120
↓ 1 callersMethodget_v
(self, s)
contents/12_Proximal_Policy_Optimization/DPPO.py:98
↓ 1 callersMethodget_v
(self, s)
contents/12_Proximal_Policy_Optimization/discrete_DPPO.py:104
↓ 1 callersMethodlearn
(self)
experiments/Solve_LunarLander/DuelingDQNPrioritizedReplay.py:260
↓ 1 callersMethodlearn
(self)
contents/5.2_Prioritized_Replay_DQN/RL_brain.py:245
↓ 1 callersMethodlearn
(self, *args)
contents/4_Sarsa_lambda_maze/RL_brain.py:45
↓ 1 callersMethodlearn
(self)
contents/5_Deep_Q_Network/RL_brain.py:138
↓ 1 callersMethodlearn
(self, s, a, r, s_)
contents/2_Q_Learning_maze/RL_brain.py:33
↓ 1 callersMethodlearn
(self)
contents/5.3_Dueling_DQN/RL_brain.py:131
↓ 1 callersMethodlearn
(self)
contents/Curiosity_Model/Random_Network_Distillation.py:122
↓ 1 callersMethodlearn
(self)
contents/Curiosity_Model/Curiosity.py:121
↓ 1 callersMethodlearn
(self)
contents/5.1_Double_DQN/RL_brain.py:121
↓ 1 callersMethodlearn
(self)
contents/9_Deep_Deterministic_Policy_Gradient_DDPG/DDPG_update.py:78
↓ 1 callersMethodlearn
(self)
contents/9_Deep_Deterministic_Policy_Gradient_DDPG/DDPG_update2.py:78
↓ 1 callersMethodlearn
(self, *args)
contents/3_Sarsa_maze/RL_brain.py:45
↓ 1 callersMethodplot_cost
(self)
contents/5_Deep_Q_Network/RL_brain.py:203
↓ 1 callersFunctionpoint2segment
()
experiments/2D_car/collision.py:31
↓ 1 callersMethodprio_sample
(self, n)
experiments/Solve_BipedalWalker/DDPG.py:266
↓ 1 callersMethodpull_global
(self)
experiments/Solve_BipedalWalker/A3C.py:111
↓ 1 callersMethodpull_global
(self)
experiments/Solve_BipedalWalker/A3C_rnn.py:122
↓ 1 callersMethodpull_global
(self)
experiments/Solve_LunarLander/A3C.py:108
↓ 1 callersMethodpull_global
(self)
experiments/Robot_arm/A3C.py:120
↓ 1 callersMethodpull_global
(self)
contents/10_A3C/A3C_RNN.py:114
↓ 1 callersMethodpull_global
(self)
contents/10_A3C/A3C_distributed_tf.py:92
↓ 1 callersMethodpull_global
(self)
contents/10_A3C/A3C_discrete_action.py:96
↓ 1 callersMethodpull_global
(self)
contents/10_A3C/A3C_continuous_action.py:105
↓ 1 callersMethodrender
(self)
contents/4_Sarsa_lambda_maze/maze_env.py:131
↓ 1 callersMethodrender
(self)
contents/5_Deep_Q_Network/maze_env.py:127
↓ 1 callersMethodrender
(self)
contents/3_Sarsa_maze/maze_env.py:131
↓ 1 callersMethodreset
(self)
contents/4_Sarsa_lambda_maze/maze_env.py:84
↓ 1 callersMethodreset
(self)
contents/3_Sarsa_maze/maze_env.py:84
↓ 1 callersFunctionrl
()
contents/1_command_line_reinforcement_learning/treasure_on_right.py:77
↓ 1 callersMethodsample
(self, n)
experiments/2D_car/DDPG.py:182
↓ 1 callersMethodsample
(self, n)
contents/9_Deep_Deterministic_Policy_Gradient_DDPG/DDPG.py:190
↓ 1 callersMethodsample_action
(self)
experiments/2D_car/car_env.py:73
↓ 1 callersMethodsample_s_a
(self)
contents/11_Dyna_Q/RL_brain.py:80
↓ 1 callersMethodstep
(self, action)
contents/4_Sarsa_lambda_maze/maze_env.py:96
↓ 1 callersMethodstep
(self, action)
contents/3_Sarsa_maze/maze_env.py:96
↓ 1 callersMethodstore
(self, error, transition)
experiments/Solve_BipedalWalker/DDPG.py:262
↓ 1 callersMethodstore
(self, error, transition)
experiments/Solve_LunarLander/DuelingDQNPrioritizedReplay.py:108
↓ 1 callersMethodstore
(self, transition)
contents/5.2_Prioritized_Replay_DQN/RL_brain.py:103
↓ 1 callersMethodstore_transition
(self, s, a, r, s_)
experiments/Solve_LunarLander/DuelingDQNPrioritizedReplay.py:241
↓ 1 callersMethodstore_transition
(self, s, a, r, s_)
experiments/Robot_arm/DDPG.py:185
↓ 1 callersMethodstore_transition
(self, s, a, r, s_)
experiments/2D_car/DDPG.py:176
↓ 1 callersMethodstore_transition
(self, s, a, r, s_)
contents/5.2_Prioritized_Replay_DQN/RL_brain.py:224
↓ 1 callersMethodstore_transition
(self, s, a, r, s_)
contents/5_Deep_Q_Network/RL_brain.py:114
↓ 1 callersMethodstore_transition
(self, s, a, r, s_)
contents/11_Dyna_Q/RL_brain.py:70
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