Alternatives and similar repositories for Policy-Gradient-PyTorch

Users that are interested in Policy-Gradient-PyTorch are comparing it to the libraries listed below

• PKU-RL / DGN
  DGN Code
  ☆354Updated 2 years ago
• sungyubkim / Deep_RL_with_pytorch
  A pytorch tutorial for DRL(Deep Reinforcement Learning)
  ☆218Updated 2 years ago
• hungtuchen / pytorch-hdqn
  Hierarchical-DQN in pytorch (not actively maintained)
  ☆70Updated 8 years ago
• reinforcement-learning-kr / pg_travel
  Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
  ☆369Updated 5 years ago
• cyoon1729 / Policy-Gradient-Methods
  Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
  ☆99Updated 5 years ago
• ChangyWen / wolpertinger_ddpg
  Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…
  ☆65Updated 2 years ago
• skumar9876 / Hierarchical-DQN
  Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…
  ☆86Updated 7 years ago
• yc930401 / Actor-Critic-pytorch
  Actor Critic model to play Cartpole game
  ☆52Updated 6 years ago
• ermongroup / MA-AIRL
  Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
  ☆210Updated 6 years ago
• RunzheYang / MORL
  Multi-Objective Reinforcement Learning
  ☆279Updated 3 years ago
• yufeiwang63 / RLlab
  pytorch implementation of DQN, NAF, DDPG
  ☆13Updated 7 years ago
• vy007vikas / PyTorch-ActorCriticRL
  PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
  ☆411Updated 4 years ago
• jmichaux / dqn-pytorch
  DQN to play Atari Pong
  ☆114Updated 6 years ago
• gmargo11 / hDQN
  Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)
  ☆35Updated 6 years ago
• jimkon / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym
  ☆177Updated 7 years ago
• hungtuchen / pytorch-dqn
  Deep Q-Learning Network in pytorch (not actively maintained)
  ☆403Updated 7 years ago
• rhoowd / sched_net
  ☆86Updated 3 years ago
• nikhil3456 / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…
  ☆71Updated 5 years ago
• rlcode / per
  Prioritized Experience Replay (PER) implementation in PyTorch
  ☆346Updated 5 years ago
• nikhilbarhate99 / Actor-Critic-PyTorch
  Policy Gradient Actor-Critic PyTorch | Lunar Lander v2
  ☆74Updated 6 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆76Updated 5 years ago
• hsvgbkhgbv / SQDDPG
  This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …
  ☆119Updated 8 months ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆142Updated 6 years ago
• xuzhiyuan1528 / KTM-DRL
  ☆20Updated 4 years ago
• MadryLab / implementation-matters
  ☆132Updated 11 months ago
• minqi / learning-to-communicate-pytorch
  Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
  ☆354Updated 6 years ago
• cyoon1729 / Multi-agent-reinforcement-learning
  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
  ☆65Updated 6 years ago
• tegg89 / magnet
  MAGNet: Multi-agents control using Graph Neural Networks
  ☆132Updated 6 years ago
• amazon-science / meta-q-learning
  Code for the paper "Meta-Q-Learning"( ICLR 2020)
  ☆103Updated 3 years ago
• dxyang / DQN_pytorch
  Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch
  ☆524Updated 7 years ago