Alternatives and similar repositories for meta-RL

Users that are interested in meta-RL are comparing it to the libraries listed below

• chanb / metalearning_RL
  ☆20Updated 2 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆41Updated 5 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆54Updated 4 years ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆59Updated 5 years ago
• RobvanGastel / meta-rl-algorithms
  A collection of Meta-Reinforcement Learning algorithms in PyTorch
  ☆50Updated last year
• rlchina / RLCN
  ☆126Updated 4 years ago
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆40Updated 2 years ago
• TroddenSpade / Meta-Reinforcement-Learning
  Code snippets of Meta Reinforcement Learning algorithms
  ☆39Updated 2 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆36Updated 4 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆107Updated 3 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆76Updated 6 years ago
• rhoowd / sched_net
  ☆90Updated 4 years ago
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆96Updated last year
• lucaslingle / pytorch_rl2
  Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'
  ☆71Updated 3 years ago
• rosewang2008 / rmaddpg
  ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
  ☆50Updated 5 years ago
• Felhof / DiscreteSAC
  ☆40Updated 4 years ago
• Amanda2024 / GCS_aamas337
  The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
  ☆42Updated 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…
  ☆94Updated 4 years ago
• ling-pan / SD3
  ☆61Updated 5 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆42Updated 6 years ago
• tbasaklar / PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm
  A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…
  ☆38Updated 2 years ago
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆103Updated 2 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆112Updated 4 years ago
• XinJingHao / SAC-Discrete-Pytorch
  A clean and robust Pytorch implementation of SAC on discrete action space
  ☆41Updated last year
• mttga / pymarl_transformers
  Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…
  ☆53Updated last year
• oxwhirl / facmac
  ☆107Updated 4 years ago
• jiechuanjiang / pytorch_DGN
  The pytorch implementation of DGN on grid world and Starcraft
  ☆148Updated 3 years ago
• oxwhirl / comix
  ☆42Updated 4 years ago
• DKuan / MADDPG_torch
  The code for maddpg using pytorch
  ☆169Updated 5 years ago
• sanmuyang / multi-agent-PPO-on-SMAC
  Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.
  ☆73Updated 3 years ago