MindSpore
安装部署
安装MindSpore Reinforcement
使用指南
强化学习配置说明
使用MindSpore Reinforcement实现深度Q学习(DQN)
ReplayBuffer 使用说明
强化学习环境接入
API参考
mindspore_rl
RELEASE NOTES
Release Notes
MindSpore
»
索引
索引
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B
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C
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D
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E
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F
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G
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I
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L
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M
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N
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O
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P
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R
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S
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T
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U
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內
A
act() (mindspore_rl.agent.Actor 方法)
(mindspore_rl.agent.Agent 方法)
action_space (mindspore_rl.environment.Environment property)
(mindspore_rl.environment.MsEnvironment property)
(mindspore_rl.environment.MultiEnvironmentWrapper property)
(mindspore_rl.environment.TicTacToeEnvironment property)
B
batched (mindspore_rl.environment.Environment property)
begin() (mindspore_rl.utils.CallbackManager 方法)
(mindspore_rl.utils.EvaluateCallback 方法)
boundary (mindspore_rl.environment.Space property)
C
calculate_prior() (mindspore_rl.utils.AlgorithmFunc 方法)
(mindspore_rl.utils.VanillaFunc 方法)
calculate_rewards() (mindspore_rl.environment.TicTacToeEnvironment 方法)
clear() (mindspore_rl.utils.TensorArray 方法)
(mindspore_rl.utils.TensorsQueue 方法)
close() (mindspore_rl.environment.DeepMindControlEnvironment 方法)
(mindspore_rl.environment.Environment 方法)
(mindspore_rl.environment.GymEnvironment 方法)
(mindspore_rl.environment.MultiEnvironmentWrapper 方法)
(mindspore_rl.environment.PettingZooMPEEnvironment 方法)
(mindspore_rl.environment.StarCraft2Environment 方法)
(mindspore_rl.utils.TensorArray 方法)
(mindspore_rl.utils.TensorsQueue 方法)
config (mindspore_rl.environment.Environment property)
(mindspore_rl.environment.MsEnvironment property)
(mindspore_rl.environment.MultiEnvironmentWrapper property)
(mindspore_rl.environment.TicTacToeEnvironment property)
construct() (mindspore_rl.network.FullyConnectedLayers 方法)
(mindspore_rl.network.FullyConnectedNet 方法)
(mindspore_rl.network.GruNet 方法)
(mindspore_rl.policy.EpsilonGreedyPolicy 方法)
(mindspore_rl.policy.GreedyPolicy 方法)
(mindspore_rl.policy.Policy 方法)
(mindspore_rl.policy.RandomPolicy 方法)
(mindspore_rl.utils.BatchRead 方法)
(mindspore_rl.utils.BatchWrite 方法)
create_environments() (mindspore_rl.core.MSRL 方法)
current_player() (mindspore_rl.environment.TicTacToeEnvironment 方法)
D
destroy() (mindspore_rl.core.PriorityReplayBuffer 方法)
(mindspore_rl.utils.MCTS 方法)
done_space (mindspore_rl.environment.Environment property)
(mindspore_rl.environment.MsEnvironment property)
(mindspore_rl.environment.MultiEnvironmentWrapper property)
(mindspore_rl.environment.TicTacToeEnvironment property)
E
end() (mindspore_rl.utils.CallbackManager 方法)
episode_begin() (mindspore_rl.utils.CallbackManager 方法)
(mindspore_rl.utils.TimeCallback 方法)
episode_end() (mindspore_rl.utils.CallbackManager 方法)
(mindspore_rl.utils.CheckpointCallback 方法)
(mindspore_rl.utils.EvaluateCallback 方法)
(mindspore_rl.utils.LossCallback 方法)
(mindspore_rl.utils.TimeCallback 方法)
evaluate() (mindspore_rl.agent.Trainer 方法)
F
full() (mindspore_rl.core.PriorityReplayBuffer 方法)
(mindspore_rl.core.UniformReplayBuffer 方法)
G
get() (mindspore_rl.utils.TensorsQueue 方法)
get_action() (mindspore_rl.agent.Actor 方法)
(mindspore_rl.agent.Agent 方法)
get_item() (mindspore_rl.core.UniformReplayBuffer 方法)
get_replay_buffer() (mindspore_rl.core.MSRL 方法)
get_replay_buffer_elements() (mindspore_rl.core.MSRL 方法)
I
init() (mindspore_rl.core.MSRL 方法)
insert() (mindspore_rl.core.PriorityReplayBuffer 方法)
(mindspore_rl.core.UniformReplayBuffer 方法)
is_discrete (mindspore_rl.environment.Space property)
is_terminal() (mindspore_rl.environment.TicTacToeEnvironment 方法)
L
learn() (mindspore_rl.agent.Agent 方法)
(mindspore_rl.agent.Learner 方法)
legal_action() (mindspore_rl.environment.TicTacToeEnvironment 方法)
load() (mindspore_rl.environment.TicTacToeEnvironment 方法)
load_and_eval() (mindspore_rl.agent.Trainer 方法)
M
max_utility() (mindspore_rl.environment.TicTacToeEnvironment 方法)
mcts_search() (mindspore_rl.utils.MCTS 方法)
mindspore_rl.agent.Actor (內置类)
mindspore_rl.agent.Agent (內置类)
mindspore_rl.agent.Learner (內置类)
mindspore_rl.agent.Trainer (內置类)
mindspore_rl.core.MSRL (內置类)
mindspore_rl.core.PriorityReplayBuffer (內置类)
mindspore_rl.core.Session (內置类)
mindspore_rl.core.UniformReplayBuffer (內置类)
mindspore_rl.environment.DeepMindControlEnvironment (內置类)
mindspore_rl.environment.Environment (內置类)
mindspore_rl.environment.EnvironmentProcess (內置类)
mindspore_rl.environment.GymEnvironment (內置类)
mindspore_rl.environment.MsEnvironment (內置类)
mindspore_rl.environment.MultiEnvironmentWrapper (內置类)
mindspore_rl.environment.PettingZooMPEEnvironment (內置类)
mindspore_rl.environment.Space (內置类)
mindspore_rl.environment.StarCraft2Environment (內置类)
mindspore_rl.environment.TicTacToeEnvironment (內置类)
mindspore_rl.network.FullyConnectedLayers (內置类)
mindspore_rl.network.FullyConnectedNet (內置类)
mindspore_rl.network.GruNet (內置类)
mindspore_rl.policy.EpsilonGreedyPolicy (內置类)
mindspore_rl.policy.GreedyPolicy (內置类)
mindspore_rl.policy.Policy (內置类)
mindspore_rl.policy.RandomPolicy (內置类)
mindspore_rl.utils.AlgorithmFunc (內置类)
mindspore_rl.utils.BatchRead (內置类)
mindspore_rl.utils.BatchWrite (內置类)
mindspore_rl.utils.CallbackManager (內置类)
mindspore_rl.utils.CallbackParam (內置类)
mindspore_rl.utils.CheckpointCallback (內置类)
mindspore_rl.utils.DiscountedReturn (內置类)
mindspore_rl.utils.EvaluateCallback (內置类)
mindspore_rl.utils.LossCallback (內置类)
mindspore_rl.utils.MCTS (內置类)
mindspore_rl.utils.OUNoise (內置类)
mindspore_rl.utils.SoftUpdate (內置类)
mindspore_rl.utils.TensorArray (內置类)
mindspore_rl.utils.TensorsQueue (內置类)
mindspore_rl.utils.TimeCallback (內置类)
mindspore_rl.utils.update_config()
內置函数
mindspore_rl.utils.VanillaFunc (內置类)
ms_dtype (mindspore_rl.environment.Space property)
N
np_dtype (mindspore_rl.environment.Space property)
num_agent (mindspore_rl.environment.Environment property)
num_environment (mindspore_rl.environment.Environment property)
num_values (mindspore_rl.environment.Space property)
O
observation_space (mindspore_rl.environment.Environment property)
(mindspore_rl.environment.MsEnvironment property)
(mindspore_rl.environment.MultiEnvironmentWrapper property)
(mindspore_rl.environment.TicTacToeEnvironment property)
P
pop() (mindspore_rl.utils.TensorsQueue 方法)
put() (mindspore_rl.utils.TensorsQueue 方法)
R
read() (mindspore_rl.utils.TensorArray 方法)
recv() (mindspore_rl.environment.Environment 方法)
render() (mindspore_rl.environment.Environment 方法)
(mindspore_rl.environment.MultiEnvironmentWrapper 方法)
reset() (mindspore_rl.core.PriorityReplayBuffer 方法)
(mindspore_rl.core.UniformReplayBuffer 方法)
(mindspore_rl.environment.Environment 方法)
(mindspore_rl.environment.MsEnvironment 方法)
(mindspore_rl.environment.MultiEnvironmentWrapper 方法)
(mindspore_rl.environment.TicTacToeEnvironment 方法)
restore_tree_data() (mindspore_rl.utils.MCTS 方法)
reward_space (mindspore_rl.environment.Environment property)
(mindspore_rl.environment.MsEnvironment property)
(mindspore_rl.environment.MultiEnvironmentWrapper property)
(mindspore_rl.environment.TicTacToeEnvironment property)
run() (mindspore_rl.core.Session 方法)
(mindspore_rl.environment.EnvironmentProcess 方法)
S
sample() (mindspore_rl.core.PriorityReplayBuffer 方法)
(mindspore_rl.core.UniformReplayBuffer 方法)
(mindspore_rl.environment.Space 方法)
save() (mindspore_rl.environment.TicTacToeEnvironment 方法)
send() (mindspore_rl.environment.Environment 方法)
set_seed() (mindspore_rl.environment.Environment 方法)
shape (mindspore_rl.environment.Space property)
simulation() (mindspore_rl.utils.AlgorithmFunc 方法)
(mindspore_rl.utils.VanillaFunc 方法)
size() (mindspore_rl.core.UniformReplayBuffer 方法)
(mindspore_rl.utils.TensorArray 方法)
(mindspore_rl.utils.TensorsQueue 方法)
stack() (mindspore_rl.utils.TensorArray 方法)
step() (mindspore_rl.environment.Environment 方法)
(mindspore_rl.environment.MsEnvironment 方法)
(mindspore_rl.environment.MultiEnvironmentWrapper 方法)
(mindspore_rl.environment.TicTacToeEnvironment 方法)
T
total_num_player() (mindspore_rl.environment.TicTacToeEnvironment 方法)
train() (mindspore_rl.agent.Trainer 方法)
train_one_episode() (mindspore_rl.agent.Trainer 方法)
trainable_variables() (mindspore_rl.agent.Trainer 方法)
U
update_priorities() (mindspore_rl.core.PriorityReplayBuffer 方法)
W
write() (mindspore_rl.utils.TensorArray 方法)
內
內置函数
mindspore_rl.utils.update_config()