Tensorforce
0.5.1
Basics
Installation
Getting started
Module specification
run.py – Runner
tune.py – Hyperparameter tuner
Agents
Agent interface
Constant Agent
Random Agent
Tensorforce Policy Agent
Deep Q-Network
Vanilla Policy Gradient
Proximal Policy Optimization
Trust-Region Policy Optimization
Modules
Distributions
Layers
Memories
Networks
Objectives
Optimizers
Parameters
Preprocessing
Policies
Environments
Environment interface
Arcade Learning Environment
Maze Explorer
Open Sim
OpenAI Gym
OpenAI Retro
PyGame Learning Environment
ViZDoom
Tensorforce
Docs
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Index
Edit on GitHub
Index
A
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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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K
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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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V
A
act() (tensorforce.agents.Agent method)
actions() (tensorforce.environments.Environment method)
ActionValue (class in tensorforce.core.objectives)
Activation (class in tensorforce.core.layers)
Agent (class in tensorforce.agents)
ArcadeLearningEnvironment (class in tensorforce.environments)
AutoNetwork (class in tensorforce.core.networks)
B
Bernoulli (class in tensorforce.core.distributions)
Beta (class in tensorforce.core.distributions)
C
Categorical (class in tensorforce.core.distributions)
Clipping (class in tensorforce.core.layers)
ClippingStep (class in tensorforce.core.optimizers)
close() (tensorforce.agents.Agent method)
(tensorforce.environments.Environment method)
Constant (class in tensorforce.core.parameters)
ConstantAgent (class in tensorforce.agents)
Conv1d (class in tensorforce.core.layers)
Conv2d (class in tensorforce.core.layers)
create() (tensorforce.agents.Agent static method)
(tensorforce.environments.Environment static method)
D
Decaying (class in tensorforce.core.parameters)
DeepQNetwork (class in tensorforce.agents)
Deltafier (class in tensorforce.core.layers)
Dense (class in tensorforce.core.layers)
Dropout (class in tensorforce.core.layers)
E
Embedding (class in tensorforce.core.layers)
Environment (class in tensorforce.environments)
Evolutionary (class in tensorforce.core.optimizers)
execute() (tensorforce.environments.Environment method)
ExponentialNormalization (class in tensorforce.core.layers)
F
Flatten (class in tensorforce.core.layers)
Function (class in tensorforce.core.layers)
G
Gaussian (class in tensorforce.core.distributions)
get_available_summaries() (tensorforce.agents.Agent method)
get_output_tensors() (tensorforce.agents.Agent method)
get_query_tensors() (tensorforce.agents.Agent method)
GlobalOptimizer (class in tensorforce.core.optimizers)
Gru (class in tensorforce.core.layers)
I
Image (class in tensorforce.core.layers)
initialize() (tensorforce.agents.Agent method)
InstanceNormalization (class in tensorforce.core.layers)
InternalGru (class in tensorforce.core.layers)
InternalLstm (class in tensorforce.core.layers)
InternalRnn (class in tensorforce.core.layers)
K
Keras (class in tensorforce.core.layers)
L
LayeredNetwork (class in tensorforce.core.networks)
Linear (class in tensorforce.core.layers)
Lstm (class in tensorforce.core.layers)
M
max_episode_timesteps() (tensorforce.environments.Environment method)
MazeExplorer (class in tensorforce.environments)
MetaOptimizerWrapper (class in tensorforce.core.optimizers)
MultiStep (class in tensorforce.core.optimizers)
N
NaturalGradient (class in tensorforce.core.optimizers)
O
observe() (tensorforce.agents.Agent method)
OpenAIGym (class in tensorforce.environments)
OpenAIRetro (class in tensorforce.environments)
OpenSim (class in tensorforce.environments)
OptimizingStep (class in tensorforce.core.optimizers)
OrnsteinUhlenbeck (class in tensorforce.core.parameters)
P
ParametrizedDistributions (class in tensorforce.core.policies)
PiecewiseConstant (class in tensorforce.core.parameters)
Plus (class in tensorforce.core.objectives)
(class in tensorforce.core.optimizers)
PolicyAgent (class in tensorforce.agents)
PolicyGradient (class in tensorforce.core.objectives)
Pool1d (class in tensorforce.core.layers)
Pool2d (class in tensorforce.core.layers)
Pooling (class in tensorforce.core.layers)
ProximalPolicyOptimization (class in tensorforce.agents)
PyGameLearningEnvironment (class in tensorforce.environments)
R
Random (class in tensorforce.core.parameters)
RandomAgent (class in tensorforce.agents)
Recent (class in tensorforce.core.memories)
Register (class in tensorforce.core.layers)
Replay (class in tensorforce.core.memories)
reset() (tensorforce.agents.Agent method)
(tensorforce.environments.Environment method)
restore() (tensorforce.agents.Agent method)
Retrieve (class in tensorforce.core.layers)
Reuse (class in tensorforce.core.layers)
Rnn (class in tensorforce.core.layers)
S
save() (tensorforce.agents.Agent method)
Sequence (class in tensorforce.core.layers)
states() (tensorforce.environments.Environment method)
StateValue (class in tensorforce.core.objectives)
SubsamplingStep (class in tensorforce.core.optimizers)
Synchronization (class in tensorforce.core.optimizers)
T
TFOptimizer (class in tensorforce.core.optimizers)
TrustRegionPolicyOptimization (class in tensorforce.agents)
V
VanillaPolicyGradient (class in tensorforce.agents)
ViZDoom (class in tensorforce.environments)
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v: 0.5.1
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