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Functions307 in github.com/chenbq/CAVDN

Method__init__
(self, env, agents, args)
common/rollout.py:8
Method__init__
(self, env, agents, args)
common/rollout.py:158
Method__init__
(self, env, agents, args)
common/rollout.py:284
Method__init__
(self, args)
agent/agent.py:17
Method__init__
(self, args)
agent/agent.py:135
Method__init__
(self, args)
agent/agent.py:216
Method__init__
(self, args)
agent/agent.py:321
Method__repr__
(self)
env/multiagent_com/multi_discrete.py:43
Method_choose_action_from_softmax
:param inputs: # q_value of all actions
agent/agent.py:271
Method_choose_action_from_softmax
:param inputs: # q_value of all actions
agent/agent.py:373
Method_get_info
(self, agent)
env/multiagent_com/environment.py:116
Method_set_access_action
(self, action, agent, action_space, )
env/multiagent_com/environment.py:146
Methodchoose_action
(self, weights, avail_actions, epsilon, evaluate=False)
agent/agent.py:153
Methodchoose_action
(self, weights, avail_actions, epsilon, maven_z=None, evaluate=False)
agent/agent.py:257
Methodchoose_action
(self, weights, avail_actions, epsilon, maven_z=None, evaluate=False)
agent/agent.py:359
Methodcontains
(self, x)
env/multiagent_com/multi_discrete.py:37
Functiondata_postprocess
(obs_in, obs_out)
network/base_net.py:84
Methoddisable
(self)
env/multiagent_com/rendering.py:186
Methoddisable
(self)
env/multiagent_com/rendering.py:207
Methoddraw_circle
(self, radius=10, res=30, filled=True, **attrs)
env/multiagent_com/rendering.py:115
Methoddraw_line
(self, start, end, **attrs)
env/multiagent_com/rendering.py:133
Methoddraw_polygon
(self, v, filled=True, **attrs)
env/multiagent_com/rendering.py:121
Methoddraw_polyline
(self, v, **attrs)
env/multiagent_com/rendering.py:127
Methodenable
(self)
env/multiagent_com/rendering.py:181
Methodenable
(self)
env/multiagent_com/rendering.py:198
Methodenable
(self)
env/multiagent_com/rendering.py:204
Methodenable
(self)
env/multiagent_com/rendering.py:213
Methodentities
(self)
env/multiagent_com/core.py:104
Methodeval_data
(self,world)
env/multiagent_com/scenarios/uav_com_u_centric.py:243
Methodforward
(self, obs, hidden_state)
network/base_net.py:172
Methodforward
(self, obs, hidden_state)
network/base_net.py:245
Methodforward
(self, input_mac)
network/base_net.py:259
Methodforward
(self, obs, hidden_state)
network/base_net.py:296
Methodforward
(self, inputs)
network/base_net.py:321
Methodforward
(self, state, hidden_states, actions)
network/qtran_net.py:31
Methodforward
(self, state, hidden_states, actions)
network/qtran_net.py:86
Methodforward
(self, state, hidden)
network/qtran_net.py:119
Methodforward
(self, obs, hidden_state)
network/commnet.py:17
Methodforward
(self, inputs)
network/coma_critic.py:18
Methodforward
(self, obs, hidden_state)
network/g2anet.py:34
Methodforward
(self, thought_comb)
network/coord_net.py:28
Methodforward
(self, input_mac)
network/coord_net.py:41
Methodforward
(self, q_values)
network/vdn_net.py:9
Methodforward
(self, state)
network/maven_net.py:13
Methodforward
(self, obs, hidden_state, z)
network/maven_net.py:30
Methodforward
:param q_value: shape = (episode_num, episode_limit, n_agents, n_actions) :param avail_actions: :param state: shape = (
network/maven_net.py:60
Methodforward
(self, q_values, states)
network/qmix_net.py:36
Methodgenerate_episode
(self, episode_num=None, evaluate=False)
common/rollout.py:173
Methodgenerate_episode
(self, evaluate=False)
common/rollout.py:299
Methodget_action_weights
(self, obs, last_action)
agent/agent.py:175
Methodget_action_weights
(self, obs, last_action)
agent/agent.py:330
Methodget_array
(self)
env/multiagent_com/rendering.py:139
Methodget_avail_actions
Returns the available actions of all agents in a list.
env/UAV_env.py:80
Methodimshow
(self, arr)
env/multiagent_com/rendering.py:328
Methodinital_all_weights
(self)
network/base_net.py:231
Methodinital_all_weights
(self)
network/base_net.py:282
Methodintegrate_position_state_phy
(self, agent)
env/multiagent_com/core.py:141
Methodlearn
(self, batch, max_episode_len, train_step, epsilon)
policy/coma.py:88
Methodlearn
在learn的时候,抽取到的数据是四维的,四个维度分别为 1——第几个episode 2——episode中第几个transition 3——第几个agent的数据 4——具体obs维度。因为在选动作时不仅需要输入当前的inputs,还要给神经网络输入hidden_
policy/iql.py:50
Methodlearn
在learn的时候,抽取到的数据是四维的,四个维度分别为 1——第几个episode 2——episode中第几个transition 3——第几个agent的数据 4——具体obs维度。因为在选动作时不仅需要输入当前的inputs,还要给神经网络输入hidden_
policy/vdn.py:66
Methodlearn
在learn的时候,抽取到的数据是四维的,四个维度分别为 1——第几个episode 2——episode中第几个transition 3——第几个agent的数据 4——具体obs维度。因为在选动作时不仅需要输入当前的inputs,还要给神经网络输入hidden_
policy/FC_QMIX_add.py:61
Methodlearn
在learn的时候,抽取到的数据是四维的,四个维度分别为 1——第几个episode 2——episode中第几个transition 3——第几个agent的数据 4——具体obs维度。因为在选动作时不仅需要输入当前的inputs,还要给神经网络输入hidden_
policy/maven.py:74
Methodlearn
在learn的时候,抽取到的数据是四维的,四个维度分别为 1——第几个episode 2——episode中第几个transition 3——第几个agent的数据 4——具体obs维度。因为在选动作时不仅需要输入当前的inputs,还要给神经网络输入hidden_
policy/qtran_alt.py:68
Methodlearn
(self, batch, max_episode_len, train_step, epsilon)
policy/reinforce.py:59
Methodlearn
在learn的时候,抽取到的数据是四维的,四个维度分别为 1——第几个episode 2——episode中第几个transition 3——第几个agent的数据 4——具体obs维度。因为在选动作时不仅需要输入当前的inputs,还要给神经网络输入hidden_
policy/FC_QMIX.py:75
Methodlearn
在learn的时候,抽取到的数据是四维的,四个维度分别为 1——第几个episode 2——episode中第几个transition 3——第几个agent的数据 4——具体obs维度。因为在选动作时不仅需要输入当前的inputs,还要给神经网络输入hidden_
policy/qmix.py:64
Methodlearn
(self, batch, max_episode_len, train_step, epsilon)
policy/central_v.py:73
Methodlearn
在learn的时候,抽取到的数据是四维的,四个维度分别为 1——第几个episode 2——episode中第几个transition 3——第几个agent的数据 4——具体obs维度。因为在选动作时不仅需要输入当前的inputs,还要给神经网络输入hidden_
policy/qtran_base.py:71
Methodlearn
在learn的时候,抽取到的数据是四维的,四个维度分别为 1——第几个episode 2——episode中第几个transition 3——第几个agent的数据 4——具体obs维度。因为在选动作时不仅需要输入当前的inputs,还要给神经网络输入hidden_
policy/FC_ACML.py:81
Functionload
(name)
env/multiagent_com/scenarios/__init__.py:5
Functionmake_capsule
(length, width)
env/multiagent_com/rendering.py:260
Methodmass
(self)
env/multiagent_com/core.py:54
Methodobservation
(self, agent, world)
env/multiagent_com/scenarios/uav_com.py:193
Methodobservation
(self, agent, world)
env/multiagent_com/scenarios/uav_com_u_centric.py:247
Methodrender
(self, mode='human')
env/multiagent_com/environment.py:204
Methodrender
(self, return_rgb_array=False)
env/multiagent_com/rendering.py:86
Methodrender1
(self)
env/multiagent_com/rendering.py:219
Methodrender1
(self)
env/multiagent_com/rendering.py:228
Methodrender1
(self)
env/multiagent_com/rendering.py:275
Methodrender1
(self)
env/multiagent_com/rendering.py:286
Methodrender1
(self)
env/multiagent_com/rendering.py:302
Methodrender1
(self)
env/multiagent_com/rendering.py:318
Methodreward
(self, agent, world)
env/multiagent_com/scenarios/uav_com.py:111
Methodreward
(self, agent, world)
env/multiagent_com/scenarios/uav_com_u_centric.py:141
Methodsample
Returns a array with one sample from each discrete action space
env/multiagent_com/multi_discrete.py:30
Methodsave_model
(self, train_step)
policy/coma.py:302
Methodsave_model
(self, train_step)
policy/iql.py:163
Methodsave_model
(self, train_step)
policy/vdn.py:183
Methodsave_model
(self, train_step)
policy/FC_QMIX_add.py:191
Methodsave_model
(self, train_step)
policy/maven.py:222
Methodsave_model
(self, train_step)
policy/qtran_alt.py:292
Methodsave_model
(self, train_step)
policy/reinforce.py:167
Methodsave_model
(self, train_step)
policy/FC_QMIX.py:230
Methodsave_model
(self, train_step)
policy/qmix.py:179
Methodsave_model
(self, train_step)
policy/central_v.py:206
Methodsave_model
(self, train_step)
policy/qtran_base.py:254
Methodsave_model
(self, train_step)
policy/FC_ACML.py:214
Methodshape
(self)
env/multiagent_com/multi_discrete.py:41
Methodstep
(self, action_n)
env/multiagent_com/environment.py:72
Methodstep_access
(self)
env/multiagent_com/core.py:113
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