Alternatives and similar repositories for Meta-Reinforcement-Learning:

Users that are interested in Meta-Reinforcement-Learning are comparing it to the libraries listed below

• TroddenSpade / Decision-Transformer-on-Offline-Reinforcement-Learning
  Implementation of Decision Transformer, Conservative Q-Learning, and Behavior Cloning in Offline Reinforcement Learning setting
  ☆25Updated 2 years ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• XinJingHao / SAC-Discrete-Pytorch
  A clean and robust Pytorch implementation of SAC on discrete action space
  ☆35Updated 6 months ago
• lucifer2859 / meta-RL
  ☆27Updated 4 years ago
• herolab-uga / bsac
  Bayesian Soft Actor Critic
  ☆14Updated 2 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆51Updated 3 years ago
• TJU-DRL-LAB / transfer-and-multi-task-reinforcement-learning
  ☆21Updated last year
• maohangyu / marl_demo
  demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…
  ☆56Updated 3 years ago
• mttga / pymarl_transformers
  Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…
  ☆48Updated last year
• Metro1998 / P-DQN
  Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
  ☆45Updated 3 years ago
• RobvanGastel / meta-rl-algorithms
  A collection of Meta-Reinforcement Learning algorithms in PyTorch
  ☆40Updated 9 months ago
• finninmunich / Maml-Reptile-RL
  Study of paper "Meta reinforcement learning for sim-to-real domain adaptation"
  ☆16Updated 2 years ago
• coldsummerday / SD-SAC
  Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)
  ☆21Updated 5 months ago
• TroddenSpade / Federated-DRL
  Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards
  ☆34Updated 2 years ago
• oxwhirl / facmac
  ☆96Updated 3 years ago
• ffelten / MASAC
  Jax and Torch Multi-Agent SAC on PettingZoo API
  ☆77Updated 5 months ago
• MoMe36 / BranchingDQN
  BranchingDQN
  ☆49Updated 6 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆33Updated 3 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆135Updated 4 years ago
• tocom242242 / qmix_tf2
  QMIX implemented in TensorFlow 2
  ☆17Updated 3 years ago
• verystrongjoe / qmix
  qmix
  ☆22Updated 4 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆41Updated 3 years ago
• LxzGordon / Deep-Reinforcement-Learning-with-pytorch
  Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…
  ☆92Updated 4 years ago
• deligentfool / HAVEN
  Codes for the paper "HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism"
  ☆22Updated 2 years ago
• FlickerNiko / SAC-QMIX
  Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.
  ☆47Updated 2 years ago
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆40Updated 2 years ago
• yoshinobc / M3DDPG-pytorch
  MiniMax Multi-Agent Deep Deterministic Policy Gradient (M3DDPG) pytorch implementation
  ☆10Updated 4 years ago
• RobvanGastel / rnn-sac
  Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch
  ☆26Updated 2 years ago
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆66Updated 3 years ago
• lucaslingle / pytorch_rl2
  Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'
  ☆63Updated 3 years ago