Tensorforce
0.5.5
Basics
Installation
Getting started
Agent specification
Features
run.py – Runner
tune.py – Hyperparameter tuner
Agents
Agent interface
Constant Agent
Random Agent
Tensorforce Agent
Deep Q-Network
Dueling DQN
Vanilla Policy Gradient
Actor-Critic
Advantage Actor-Critic
Deterministic Policy Gradient
Proximal Policy Optimization
Trust-Region Policy Optimization
Modules
Distributions
Layers
Memories
Networks
Objectives
Optimizers
Parameters
Preprocessing
Policies
Execution
Runner
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
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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)
assign_variable() (tensorforce.agents.TensorforceAgent method)
AutoNetwork (class in tensorforce.core.networks)
B
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)
Conv2d (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)
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)
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.TensorforceAgent method)
get_output_tensors() (tensorforce.agents.TensorforceAgent method)
get_variable() (tensorforce.agents.TensorforceAgent method)
get_variables() (tensorforce.agents.TensorforceAgent method)
GlobalOptimizer (class in tensorforce.core.optimizers)
Gru (class in tensorforce.core.layers)
I
Image (class in tensorforce.core.layers)
initial_internals() (tensorforce.agents.TensorforceAgent 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)
load() (tensorforce.agents.TensorforceAgent static method)
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.TensorforceAgent 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)
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)
summarize() (tensorforce.agents.TensorforceAgent method)
Synchronization (class in tensorforce.core.optimizers)
T
TensorforceAgent (class in tensorforce.agents)
TFOptimizer (class in tensorforce.core.optimizers)
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: 0.5.5
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