Functions — github.com/casterkay/Energy-Efficient-5G-RL

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Functions683 in github.com/casterkay/Energy-Efficient-5G-RL

⨍ Functions 683◇ Types & classes 118↳ Endpoints 2

(self, obs, deterministic=True)

agents/dqn.py:79

Methodadd

(self, op)

agents/option-critic/utils/torch_utils.py:185

Methodadd_histogram

(self, tag, values, step=None, log_level=0)

agents/option-critic/utils/logger.py:66

Methodafter_update

(self)

trainers/utils/separated_buffer.py:103

(env: 'MultiCellNetwork')

visualize/render.py:64

Methodannotate_obs

(cls, obs, trunc=None, keys=config.all_obs_keys)

network/base_station.py:641

Methodarrival_rates

(self)

network/network.py:170

Methodassign

(self, network)

agents/option-critic/utils/torch_utils.py:151

Functionbatch_diagonal

(input)

agents/option-critic/utils/torch_utils.py:68

Functionbatch_trace

(input)

agents/option-critic/utils/torch_utils.py:84

Methodbs_positions

(self)

network/network.py:159

Functioncache_obs

Cache the observation of the BS, updated every step.

network/env_utils.py:25

Methodcached_property

(func, _C=_cache)

network/user_equipment.py:43

Methodcalc_total_stats

(self)

network/base_station.py:617

Methodcall

(self, inputs)

analysis/keras-model.py:25

Methodcall

(self, inputs)

analysis/keras-model.py:32

Methodcall

(self, inputs)

analysis/keras-model.py:39

Methodcall

(self, inputs)

analysis/keras-model.py:46

Methodcall

(self, inputs)

analysis/keras-model.py:53

Methodcall

(self, inputs)

analysis/keras-model.py:60

Methodcdf

(self, action)

agents/option-critic/utils/torch_utils.py:101

Methodcell_traffic_rate

(self)

network/base_station.py:213

Methodchannel_gain

(self)

network/user_equipment.py:85

Methodchannel_gains

(self)

network/user_equipment.py:68

Functioncheck

(input)

agents/mappo/nn/util.py:16

Methodchooseafter_update

Copy last timestep data to first index. This method is used for Hanabi.

trainers/utils/shared_buffer.py:163

Methodchooseafter_update

(self)

trainers/utils/separated_buffer.py:114

Functionchooseguardworker

(remote, parent_remote, env_fn_wrapper)

env/env_wrappers.py:568

Methodchooseinsert

Insert data into the buffer. This insert function is used specifically for Hanabi, which is turn based. :param cent_obs: (argparse.Na

trainers/utils/shared_buffer.py:116

Methodchooseinsert

(self, cent_obs, obs, rnn_states, rnn_states_critic, actions, action_log_probs, value_pre

trainers/utils/separated_buffer.py:83

Functionchoosesimpleworker

(remote, parent_remote, env_fn_wrapper)

env/env_wrappers.py:389

Functionchooseworker

(remote, parent_remote, env_fn_wrapper)

env/env_wrappers.py:483

Methodclone

(self)

agents/option-critic/utils/torch_utils.py:170

Methodclose

(self)

env/environment.py:247

Methodclose

(self)

env/multi_agent.py:55

Methodclose

(self)

env/env_wrappers.py:212

Methodclose

(self)

env/env_wrappers.py:269

Methodclose

(self)

env/env_wrappers.py:376

Methodclose

(self)

env/env_wrappers.py:470

Methodclose

(self)

env/env_wrappers.py:555

Methodclose

(self)

env/env_wrappers.py:637

Methodclose

(self)

env/env_wrappers.py:681

Methodclose

(self)

env/env_wrappers.py:728

Methodclose

(self)

env/env_wrappers.py:766

Methodclose

(self)

env/env_wrappers.py:801

Methodclose

(self)

agents/option-critic/component/envs.py:149

Methodclose

(self)

agents/option-critic/agent/BaseAgent.py:155

Functioncompute_channel_gain_costhata

Compute Cost Hata Path Loss between UE and BS. Ref[1]: https://en.wikipedia.org/wiki/Hata_model Ref[2]: https://en.wikipedia.org/wiki/COS

network/channel.py:18

Methodcompute_returns

(self, next_value, value_normalizer=None)

trainers/utils/separated_buffer.py:120

Methodcompute_valid_indices

(self)

agents/option-critic/component/replay.py:69

Methodconsume_energy

(self, energy)

network/network.py:254

Methodcontains

(self, x)

env/multi_discrete.py:36

Methodcovered_idle_ues

(self)

network/base_station.py:177

Methoddata_rate

(self)

network/user_equipment.py:112

Functiondecorator

(func)

agents/mappo/nn/util.py:46

Methoddelay_ratio

Average delay/budget for each app category in the current step.

network/network.py:183

Methoddenormalize

(self, input_vector)

agents/mappo/nn/popart.py:88

Methoddict

(self)

agents/option-critic/utils/misc.py:108

Methoddistances

(self)

network/user_equipment.py:59

Methoddrop_ratio

Average ratio of dropped demand for each app category in the current step.

network/network.py:178

Methodentropy

(self)

agents/mappo/nn/distributions.py:48

Methodentropy

(self)

agents/option-critic/utils/torch_utils.py:116

Functionepsilon_greedy

(epsilon, x)

agents/option-critic/utils/torch_utils.py:51

Functionescape_float

(x)

agents/option-critic/utils/torch_utils.py:209

Methodeval_env

(self)

agents/option-critic/utils/config.py:71

Methodevaluate_actions

Get action logprobs / entropy and value function predictions for actor update. :param cent_obs (np.ndarray): centralized input to the

agents/mappo/policy.py:74

Methodevaluate_actions

Compute log probability and entropy of given actions. :param obs: (torch.Tensor) observation inputs into network. :param acti

agents/mappo/nn/actor_critic.py:74

Methodfeed

(self, data)

agents/option-critic/component/replay.py:75

Methodfeed

(self, data)

agents/option-critic/component/replay.py:160

Methodfeed

(self, exp)

agents/option-critic/component/replay.py:263

Methodfeed_forward_generator

(self, advantages, num_mini_batch=None, mini_batch_size=None)

trainers/utils/separated_buffer.py:164

Methodforward

(self, x)

analysis/keras-model.py:117

Methodforward

Compute actions from given input. :param x: (torch.Tensor) input to network. :return actions: (torch.Tensor) actions to take.

agents/dqn.py:33

Methodforward

(self, x)

agents/mappo/nn/cnn.py:7

Methodforward

(self, x)

agents/mappo/nn/cnn.py:40

Methodforward

(self, x)

agents/mappo/nn/cnn.py:56

Methodforward

Compute actions from the given inputs. :param obs: (np.ndarray / torch.Tensor) observation inputs into network. :param rnn_st

agents/mappo/nn/actor_critic.py:42

Methodforward

Compute actions from the given inputs. :param cent_obs: (np.ndarray / torch.Tensor) observation inputs into network. :param r

agents/mappo/nn/actor_critic.py:148

Methodforward

(self, input_vector)

agents/mappo/nn/popart.py:41

Methodforward

(self, x)

agents/mappo/nn/mlp.py:25

Methodforward

(self, x)

agents/mappo/nn/mlp.py:52

Methodforward

(self, x, hxs, masks)

agents/mappo/nn/rnn.py:24

Methodforward

(self, x, available_actions=None)

agents/mappo/nn/distributions.py:64

Methodforward

(self, x)

agents/mappo/nn/distributions.py:82

Methodforward

(self, x)

agents/mappo/nn/distributions.py:103

Methodforward

(self, x)

agents/mappo/nn/distributions.py:112

Methodforward

Compute actions and action logprobs from given input. :param x: (torch.Tensor) input to network. :param available_actions: (t

agents/mappo/nn/act.py:44

Methodforward

(self, x)

agents/option-critic/network/network_bodies.py:27

Methodforward

(self, x)

agents/option-critic/network/network_bodies.py:43

Methodforward

(self, x)

agents/option-critic/network/network_bodies.py:70

Methodforward

(self, x)

agents/option-critic/network/network_bodies.py:81

Methodforward

(self, x)

agents/option-critic/network/network_heads.py:18

Methodforward

(self, x, to_numpy=False)

agents/option-critic/network/network_heads.py:32

Methodforward

(self, x)

agents/option-critic/network/network_heads.py:49

Methodforward

(self, x)

agents/option-critic/network/network_heads.py:79

Methodforward

(self, x)

agents/option-critic/network/network_heads.py:98

Methodforward

(self, x)

agents/option-critic/network/network_heads.py:116

Methodforward

(self, obs)

agents/option-critic/network/network_heads.py:157

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