A pytorch implementation of Structured Exploration via Deep Hierarchical Coordination
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Updated
Aug 18, 2017 - Python
A pytorch implementation of Structured Exploration via Deep Hierarchical Coordination
Atari Game playing agents which use Q-Learning Algorithms
deep reinforcement learning in pytorch
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PyTorch implementation of various reinforcement learning algorithms
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A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
A PyTorch implementation of a DQN agent to solve CartPole-V0 task from OpenAI Gym.
PyTorch Implementations of Standard Deep RL Algorithms (including REINFORCE, A2C, PPO)
A Deep Reinforcement Learning Framework
Reinforcement learning with unsupervised auxiliary tasks
Deep Reinforcement Learning Nanodegree projects
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A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Reinforcement Learning modules for pytorch.
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