Tensorforce
stable
Basics
Installation
Getting started
Agent specification
Features
run.py – Runner
tune.py – Hyperparameter tuner
Agents
General agent interface
Constant Agent
Random Agent
Tensorforce Agent
Vanilla Policy Gradient
Proximal Policy Optimization
Trust-Region Policy Optimization
Deterministic Policy Gradient
Deep Q-Network
Double DQN
Dueling DQN
Actor-Critic
Advantage Actor-Critic
Modules
Distributions
Layers
Memories
Networks
Objectives
Optimizers
Parameters
Policies
Preprocessing
Execution
Runner utility
Environments
General environment interface
OpenAI Gym
Arcade Learning Environment
OpenAI Retro
Open Sim
PyGame Learning Environment
ViZDoom
Tensorforce
Docs
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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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U
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V
A
act() (tensorforce.agents.TensorforceAgent method)
actions() (tensorforce.environments.Environment method)
Activation (class in tensorforce.core.layers)
ActorCritic (class in tensorforce.agents)
AdvantageActorCritic (class in tensorforce.agents)
ArcadeLearningEnvironment (class in tensorforce.environments)
AutoNetwork (class in tensorforce.core.networks)
B
BatchNormalization (class in tensorforce.core.layers)
Bernoulli (class in tensorforce.core.distributions)
Beta (class in tensorforce.core.distributions)
Block (class in tensorforce.core.layers)
C
Categorical (class in tensorforce.core.distributions)
Clipping (class in tensorforce.core.layers)
ClippingStep (class in tensorforce.core.optimizers)
close() (tensorforce.agents.TensorforceAgent method)
(tensorforce.environments.Environment method)
Constant (class in tensorforce.core.parameters)
ConstantAgent (class in tensorforce.agents)
Conv1d (class in tensorforce.core.layers)
Conv1dTranspose (class in tensorforce.core.layers)
Conv2d (class in tensorforce.core.layers)
Conv2dTranspose (class in tensorforce.core.layers)
create() (tensorforce.agents.TensorforceAgent 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)
DeterministicPolicyGradient (class in tensorforce.agents)
(class in tensorforce.core.objectives)
DoublecheckStep (class in tensorforce.core.optimizers)
DoubleDQN (class in tensorforce.agents)
Dropout (class in tensorforce.core.layers)
DuelingDQN (class in tensorforce.agents)
E
Embedding (class in tensorforce.core.layers)
Evolutionary (class in tensorforce.core.optimizers)
execute() (tensorforce.environments.Environment method)
experience() (tensorforce.agents.TensorforceAgent method)
Exponential (class in tensorforce.core.parameters)
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_architecture() (tensorforce.agents.TensorforceAgent method)
get_specification() (tensorforce.agents.TensorforceAgent method)
Gru (class in tensorforce.core.layers)
I
Image (class in tensorforce.core.layers)
initial_internals() (tensorforce.agents.TensorforceAgent method)
InputGru (class in tensorforce.core.layers)
InputLstm (class in tensorforce.core.layers)
InputRnn (class in tensorforce.core.layers)
InstanceNormalization (class in tensorforce.core.layers)
K
KerasLayer (class in tensorforce.core.layers)
KerasNetwork (class in tensorforce.core.networks)
L
LayeredNetwork (class in tensorforce.core.networks)
Linear (class in tensorforce.core.layers)
(class in tensorforce.core.parameters)
LinearNormalization (class in tensorforce.core.layers)
LinesearchStep (class in tensorforce.core.optimizers)
load() (tensorforce.agents.TensorforceAgent static method)
Lstm (class in tensorforce.core.layers)
M
max_episode_timesteps() (tensorforce.environments.Environment method)
MultiStep (class in tensorforce.core.optimizers)
N
NaturalGradient (class in tensorforce.core.optimizers)
O
observe() (tensorforce.agents.TensorforceAgent method)
OpenAIGym (class in tensorforce.environments)
OpenAIRetro (class in tensorforce.environments)
OpenSim (class in tensorforce.environments)
OptimizerWrapper (class in tensorforce.core.optimizers)
OrnsteinUhlenbeck (class in tensorforce.core.parameters)
P
ParametrizedActionValue (class in tensorforce.core.policies)
ParametrizedDistributions (class in tensorforce.core.policies)
ParametrizedStateValue (class in tensorforce.core.policies)
ParametrizedValuePolicy (class in tensorforce.core.policies)
PiecewiseConstant (class in tensorforce.core.parameters)
Plus (class in tensorforce.core.objectives)
(class in tensorforce.core.optimizers)
PolicyGradient (class in tensorforce.core.objectives)
Pool1d (class in tensorforce.core.layers)
Pool2d (class in tensorforce.core.layers)
Pooling (class in tensorforce.core.layers)
pretrain() (tensorforce.agents.TensorforceAgent method)
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.TensorforceAgent method)
(tensorforce.environments.Environment method)
Reshape (class in tensorforce.core.layers)
Retrieve (class in tensorforce.core.layers)
Reuse (class in tensorforce.core.layers)
Rnn (class in tensorforce.core.layers)
run() (tensorforce.execution.Runner method)
Runner (class in tensorforce.execution)
S
save() (tensorforce.agents.TensorforceAgent method)
Sequence (class in tensorforce.core.layers)
states() (tensorforce.environments.Environment method)
SubsamplingStep (class in tensorforce.core.optimizers)
Synchronization (class in tensorforce.core.optimizers)
T
TensorforceAgent (class in tensorforce.agents)
TFOptimizer (class in tensorforce.core.optimizers)
tracked_tensors() (tensorforce.agents.TensorforceAgent method)
TrustRegionPolicyOptimization (class in tensorforce.agents)
U
update() (tensorforce.agents.TensorforceAgent method)
V
Value (class in tensorforce.core.objectives)
VanillaPolicyGradient (class in tensorforce.agents)
ViZDoom (class in tensorforce.environments)
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v: stable
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