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pytorch-rl

Here are 56 public repositories matching this topic...

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

  • UpdatedFeb 9, 2021
  • Python

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

  • UpdatedJun 5, 2018
  • Python

Reinforced Recommendation toolkit built around pytorch 1.7

  • UpdatedDec 8, 2020
  • Python

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

  • UpdatedMar 25, 2023
  • Python

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

  • UpdatedApr 16, 2018
  • Python

Train an RL agent to localize actively (PyTorch)

  • UpdatedApr 9, 2018
  • Python

A high-performance Atari A3C agent in 180 lines of PyTorch

  • UpdatedJul 31, 2021
  • Python

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

  • UpdatedApr 4, 2019
  • Python

Pytorch solutions for UC Berkeley's cs285 assignments

  • UpdatedJan 21, 2022
  • Python

A repository for implementation of deep reinforcement learning lectured at Samsung

  • UpdatedSep 20, 2021
  • Python

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

  • UpdatedJul 23, 2019
  • Jupyter Notebook

Pytorch starter code for UC Berkeley's cs285 assignments

  • UpdatedJan 21, 2022
  • Python

Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG

  • UpdatedJul 9, 2019
  • Python

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