Alternatives and similar repositories for OEMA

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

• LAMDA-RL / ODIS
  The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆41Updated 6 months ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆54Updated 2 years ago
• morning9393 / Optimal-Baseline-for-Multi-agent-Policy-Gradients
  ☆28Updated 3 years ago
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆34Updated last year
• ling-pan / OMAR
  ☆46Updated 2 years ago
• YangRui2015 / RORL
  Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"
  ☆19Updated 2 years ago
• xihuai18 / A2PO-ICLR2023
  Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)
  ☆29Updated 5 months ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆85Updated 2 years ago
• chenf-ai / Multi-Agent-Communication-Considering-Representation-Learning
  ☆29Updated 2 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 3 years ago
• AIDefender / MyDiscor
  Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"
  ☆13Updated 3 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆40Updated 5 years ago
• x35f / meta_rl
  Meta RL codebase for Unstable Baselines
  ☆21Updated 2 years ago
• StanfordVL / alignment
  ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward
  ☆18Updated 2 years ago
• shlee94 / Off2OnRL
  ☆55Updated 2 years ago
• simsimiSION / pymarl-algorithm-extension-via-starcraft
  ☆12Updated 4 years ago
• NJU-RL / ACORM
  ☆29Updated last year
• sjtu-marl / bd_rd_psro
  Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
  ☆20Updated 3 years ago
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆24Updated 2 years ago
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆36Updated 3 months 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
• TonghanWang / EITI-EDTI
  Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)
  ☆31Updated 5 years ago
• ling-pan / RES
  ☆26Updated 3 years ago
• ReinholdM / Papers-of-Offline-RL
  Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
  ☆18Updated 3 years ago
• FanmingL / ESCP
  Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy
  ☆20Updated 2 years ago
• IouJenLiu / CMAE
  ☆49Updated 3 years ago
• wenzhe-li / FightLadder
  Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"
  ☆25Updated 9 months ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆87Updated last year
• PKU-RL / CORRO
  CORRO code
  ☆35Updated 2 years ago
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆28Updated 2 years ago