Tensorforce
0.5.2

Basics

  • Installation
  • Getting started
  • Module 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

Environments

  • Environment interface
  • Arcade Learning Environment
  • Maze Explorer
  • Open Sim
  • OpenAI Gym
  • OpenAI Retro
  • PyGame Learning Environment
  • ViZDoom
Tensorforce
  • Docs »
  • Overview: module code

All modules for which code is available

  • tensorforce.environments.arcade_learning_environment
  • tensorforce.environments.environment
  • tensorforce.environments.maze_explorer
  • tensorforce.environments.open_sim
  • tensorforce.environments.openai_gym
  • tensorforce.environments.openai_retro
  • tensorforce.environments.pygame_learning_environment
  • tensorforce.environments.vizdoom

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