Functions — github.com/brendanator/atari-rl

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Functions138 in github.com/brendanator/atari-rl

⨍ Functions 138◇ Types & classes 25

↓ 12 callersMethodoffset_input

(self, t)

networks/inputs.py:48

↓ 8 callersFunctionauto_placeholder

(dtype, shape, name, feed_data, preprocess_offset=None)

networks/inputs.py:57

↓ 8 callersMethodoffset_index

(self, index, offset)

agents/replay_memory.py:76

↓ 7 callersMethodtotal_priority

(self)

agents/replay_priorities.py:41

↓ 6 callersMethodmax_priority

(self)

agents/replay_priorities.py:44

↓ 5 callersMethodactivation_summary

(self, tensor)

networks/dqn.py:144

↓ 4 callersMethodaction_value

(self, action, name='action_value')

networks/dqn.py:87

↓ 4 callersMethodupdate_priorities

(self, indices, priorities)

agents/replay_priorities.py:50

↓ 4 callersMethodvalid_indices

(self, new_indices, input_range, indices=None)

agents/replay_memory.py:120

↓ 4 callersMethodvalue

(self, t)

networks/loss.py:76

↓ 3 callersMethodadd_summary

(self, summary, step)

util/summary.py:35

↓ 3 callersMethodpolicy_network

(self, t=0)

networks/factory.py:28

↓ 3 callersMethodstore_transition

(self, action, reward, done, next_observation)

agents/replay_memory.py:56

↓ 2 callersMethodchoose_from_actions

(self, actions, action)

networks/dqn.py:115

↓ 2 callersMethodcreate_env

(cls, config)

atari/atari.py:95

↓ 2 callersFunctionfind_previous_run

(dir)

util/util.py:12

↓ 2 callersMethodinput_range

(self)

networks/inputs.py:134

↓ 2 callersMethodleft_child

(self, index)

agents/replay_priorities.py:89

↓ 2 callersMethodnew_game

(self)

agents/agent.py:18

↓ 2 callersMethodone_step_target

(self)

networks/loss.py:72

↓ 2 callersMethodprocess_frame

(self, last_frame, current_frame)

atari/atari.py:71

↓ 2 callersMethodrun_summary

(self, step)

util/summary.py:9

↓ 2 callersMethodsample_action

(self)

atari/atari.py:32

↓ 2 callersMethodsample_batch

(self, fetches, batch_size)

agents/replay_memory.py:79

↓ 2 callersMethodsample_head

(self)

networks/dqn.py:130

↓ 2 callersMethodstep

(self, action)

atari/atari.py:60

↓ 2 callersMethodstore_new_episode

(self, observation)

agents/replay_memory.py:49

↓ 2 callersMethodsum_pixel_probabilities

(self, frame, log_prob_func)

agents/exploration_bonus.py:36

↓ 2 callersMethodtake_action

(self, action)

agents/agent.py:50

↓ 2 callersMethodunnormalize_output

(self, output)

networks/reward_scaling.py:39

↓ 2 callersMethodupdate_scaled_priorites

(self, indices, scaled_priorities)

agents/replay_priorities.py:53

↓ 1 callersMethodaction

(self, session, step, observation)

agents/agent.py:24

↓ 1 callersMethodaction_value_layer

(self, conv_outputs, config)

networks/dqn.py:164

↓ 1 callersMethodactor_critic_loss

(self)

networks/loss.py:170

↓ 1 callersMethodbonus

(self, observation)

agents/exploration_bonus.py:15

↓ 1 callersMethodbuild_action_value_heads

(self, inputs, conv_output, reward_scaling)

networks/dqn.py:67

↓ 1 callersMethodbuild_actor_critic_heads

(self, inputs, conv_output, reward_scaling)

networks/dqn.py:91

↓ 1 callersMethodbuild_conv_layers

(self, inputs)

networks/dqn.py:30

↓ 1 callersMethodbuild_ensemble

(self)

networks/dqn.py:119

↓ 1 callersMethodbuild_loss

(self, config)

networks/loss.py:11

↓ 1 callersMethodcontext

This grabs the L-shaped context around a given pixel

agents/exploration_bonus.py:47

↓ 1 callersMethodcreate_agents

(self)

networks/factory.py:58

↓ 1 callersFunctioncreate_config

()

main.py:137

↓ 1 callersMethodcreate_reset_target_network_op

(self)

networks/factory.py:118

↓ 1 callersMethodcreate_summary

(self)

networks/factory.py:115

↓ 1 callersMethodcreate_summary_op

(self)

util/summary.py:39

↓ 1 callersMethodcreate_summary_ops

(self, loss, variables, gradients)

networks/factory.py:103

↓ 1 callersMethodcreate_train_ops

(self)

networks/factory.py:67

↓ 1 callersMethoddensity_model_probability

(self, frame)

agents/exploration_bonus.py:33

↓ 1 callersMethodepisode

(self, step, score, steps, duration)

util/summary.py:18

↓ 1 callersMethodepsilon

Epsilon is linearly annealed from an initial exploration value to a final exploration value over a number of steps

agents/agent.py:34

↓ 1 callersMethodfeed_dict

(self, indices, replay_memory)

networks/inputs.py:140

↓ 1 callersMethodfeed_dict

(self)

agents/replay_memory.py:165

↓ 1 callersMethodload

(self)

agents/replay_memory.py:146

↓ 1 callersFunctionlog

(message)

util/util.py:90

↓ 1 callersMethodlog_episode

(self, step)

agents/agent.py:83

↓ 1 callersMethodlog_policy

(self, action, name='log_policy')

networks/dqn.py:111

↓ 1 callersMethodmerge

(self, other)

networks/inputs.py:115

↓ 1 callersMethodn_step_loss

(self)

networks/loss.py:155

↓ 1 callersMethodnum_actions

(cls, config)

atari/atari.py:103

↓ 1 callersMethodone_step_loss

(self)

networks/loss.py:55

↓ 1 callersMethodoperation

(self, step)

util/summary.py:29

↓ 1 callersMethodoptimality_tightening

(self)

networks/loss.py:105

↓ 1 callersMethodparent

(self, index)

agents/replay_priorities.py:83

↓ 1 callersMethodpersistent_advantage_target

(self)

networks/loss.py:88

↓ 1 callersMethodpopulate_replay_memory

Play game with random actions to populate the replay memory

agents/agent.py:70

↓ 1 callersMethodprobabilities

(self, indices)

agents/replay_priorities.py:19

↓ 1 callersMethodprocess_reward

(self, reward, frames)

agents/agent.py:60

↓ 1 callersMethodrecent_indices

(self, batch_size, input_range)

agents/replay_memory.py:89

↓ 1 callersMethodrequired_feeds

(cls, tensor)

networks/inputs.py:152

↓ 1 callersMethodreset

Reset the game and play some random actions

atari/atari.py:35

↓ 1 callersMethodreset_target_network

(self, session, step)

agents/training.py:83

↓ 1 callersMethodsample_indices

(self, batch_size, input_range)

agents/replay_memory.py:106

↓ 1 callersMethodsample_indices

(self, count)

agents/replay_priorities.py:67

↓ 1 callersMethodsave

(self)

agents/replay_memory.py:135

↓ 1 callersMethodscale_gradients

(self, grads, variables_to_scale)

networks/reward_scaling.py:46

↓ 1 callersMethodsetup_dsl

(self, factory, config)

networks/loss.py:192

↓ 1 callersMethodsibling

(self, index)

agents/replay_priorities.py:86

↓ 1 callersMethodstop_training

(self)

agents/training.py:99

↓ 1 callersMethodtarget_network

(self, t=0)

networks/factory.py:43

↓ 1 callersMethodtrain

(self)

agents/training.py:21

↓ 1 callersMethodtrain_agent

(self, session, agent)

agents/training.py:49

↓ 1 callersMethodtrain_batch

(self, session, replay_memory, step)

agents/training.py:88

↓ 1 callersMethodtrain_threaded

(self, session)

agents/training.py:38

↓ 1 callersMethodupdate_density_model

(self, frame)

agents/exploration_bonus.py:30

↓ 1 callersMethodupdate_priorities

(self, priorites)

agents/replay_memory.py:168

↓ 1 callersMethodupdate_to_highest_priority

(self, index)

agents/replay_priorities.py:10

↓ 1 callersMethodupdate_to_highest_priority

(self, leaf_index)

agents/replay_priorities.py:47

(self, factory, config)

networks/factory.py:8

Method__init__

(self, config)

networks/reward_scaling.py:9

Method__init__

(self)

networks/reward_scaling.py:60

networks/inputs.py:88

Method__init__

(self, placeholder=None, time_offsets=0, feeds=None)

networks/inputs.py:102

Method__init__

(self, variable_scope, inputs, reward_scaling, config, write_summaries)

networks/dqn.py:9

Method__init__

(self, name, inputs, conv_outputs, reward_scaling, config)

networks/dqn.py:152

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