Alternatives and similar repositories for metalearning_RL:

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

• IouJenLiu / CMAE
  ☆47Updated 3 years ago
• mwufi / meta-rl-bandits
  A simple RNN meta-learner
  ☆10Updated 6 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆38Updated 4 years ago
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆40Updated 2 years ago
• oxwhirl / comix
  ☆42Updated 3 years ago
• morning9393 / Optimal-Baseline-for-Multi-agent-Policy-Gradients
  ☆28Updated 3 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆97Updated 3 years ago
• x35f / meta_rl
  Meta RL codebase for Unstable Baselines
  ☆21Updated 2 years ago
• feidieufo / homework
  Assignments for CS294-112.
  ☆30Updated 5 years ago
• Felhof / DiscreteSAC
  ☆39Updated 3 years ago
• DesikRengarajan / EMRLD
  [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
  ☆12Updated 2 years ago
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆52Updated 2 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆98Updated 2 years ago
• lucaslingle / pytorch_rl2
  Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'
  ☆57Updated 3 years ago
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆56Updated 2 years ago
• StanfordVL / alignment
  ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward
  ☆18Updated 2 years ago
• jsikyoon / V-MPO_torch
  V-MPO torch version with DMLab30 and GTrXL
  ☆12Updated 3 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 3 years ago
• ajlangley / cpo-pytorch
  An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch
  ☆23Updated 4 years ago
• MouseHu / GEM
  ☆14Updated 3 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆64Updated 3 years ago
• jiechuanjiang / I2Q
  I2Q: A Fully Decentralized Q-Learning Algorithm
  ☆15Updated 2 years ago
• AIDefender / MyDiscor
  Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"
  ☆13Updated 3 years ago
• kpaonaut / HAAR-A-Hierarchical-RL-Algorithm
  Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
  ☆32Updated 2 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…
  ☆29Updated 2 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆83Updated 5 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆38Updated 5 years ago
• MAS-anony / ASN
  ☆32Updated 2 years ago
• ling-pan / RES
  ☆25Updated 2 years ago
• uoe-agents / seps
  Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)
  ☆17Updated 3 years ago