Alternatives and similar repositories for rl_atari_pytorch

Users that are interested in rl_atari_pytorch are comparing it to the libraries listed below

• cardwing / Codes-for-RL-PER
  A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
  ☆50Updated 6 years ago
• quantumiracle / Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations
  Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms includ…
  ☆32Updated 2 years ago
• TianhongDai / distributed-ppo
  This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
  ☆63Updated 7 years ago
• skumar9876 / Hierarchical-DQN
  Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…
  ☆86Updated 7 years ago
• namidairo777 / Distributed-MADDPG
  Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
  ☆107Updated 4 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆41Updated 6 years ago
• rosewang2008 / rmaddpg
  ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
  ☆49Updated 5 years ago
• yilunc2020 / Attention-DQN
  Deep Recurrent Attention Reinforcement Learning in Atari
  ☆83Updated 7 years ago
• sumitsk / marl_transfer
  Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)
  ☆115Updated 2 years ago
• root-master / unified-hrl
  Unified Model-Free Hierarchical Reinforcement Learning Framework
  ☆38Updated 6 years ago
• shariqiqbal2810 / Multi-Explore
  Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"
  ☆35Updated 4 years ago
• baimingc / delay-aware-MARL
  Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".
  ☆54Updated 4 years ago
• xuemei-ye / maddpg-mpe
  Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).
  ☆21Updated 4 years ago
• navuboy / gail_gym
  Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
  ☆89Updated 6 years ago
• Bigpig4396 / PyTorch-Deep-Recurrent-Q-Learning-DRQN
  ☆42Updated 6 years ago
• saizhang0218 / VBC
  pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
  ☆53Updated 2 years ago
• shariqiqbal2810 / multiagent-particle-envs
  ☆48Updated 5 years ago
• qian18long / epciclr2020
  ☆122Updated 2 years ago
• rhoowd / sched_net
  ☆89Updated 3 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆104Updated 3 years ago
• ermongroup / multiagent-gail
  ☆84Updated 6 years ago
• fshamshirdar / pytorch-rdpg
  PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
  ☆55Updated 2 years ago
• nikhilbarhate99 / TD3-PyTorch-BipedalWalker-v2
  Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment
  ☆106Updated 6 years ago
• ermongroup / MA-AIRL
  Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
  ☆211Updated 6 years ago
• cyoon1729 / Multi-agent-reinforcement-learning
  Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
  ☆65Updated 6 years ago
• dadadidodi / m3ddpg
  ☆53Updated 6 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆76Updated 5 years ago
• facebookresearch / CollaQ
  A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"
  ☆130Updated 2 years ago
• BY571 / Soft-Actor-Critic-and-Extensions
  PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…
  ☆290Updated 4 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 6 years ago