Alternatives and similar repositories for paper

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

• shariqiqbal2810 / Multi-Explore
  Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"
  ☆35Updated 4 years ago
• YiqinYang / ICQ
  Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…
  ☆74Updated 2 years ago
• Theohhhu / UPDeT
  Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…
  ☆134Updated 4 years ago
• morning9393 / Optimal-Baseline-for-Multi-agent-Policy-Gradients
  ☆28Updated 4 years ago
• xihuai18 / A2PO-ICLR2023
  Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)
  ☆29Updated 8 months ago
• MDrW / ICML2022-IRAT
  ☆39Updated 3 years ago
• sisl / DICG
  Deep Implicit Coordination Graphs
  ☆42Updated last year
• ling-pan / RES
  ☆25Updated 3 years ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆85Updated 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)
  ☆51Updated 2 years ago
• rlchina / RLCN
  ☆123Updated 3 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 years ago
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆88Updated 5 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 4 years ago
• MAS-anony / ASN
  ☆32Updated 2 years ago
• oxwhirl / comix
  ☆43Updated 4 years ago
• maohangyu / TIT_open_source
  The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"
  ☆57Updated last year
• waterhorse1 / NAC
  (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.
  ☆28Updated 3 years ago
• IouJenLiu / CMAE
  ☆49Updated 4 years ago
• RITCHIEHuang / MAGAIL
  Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning
  ☆43Updated 3 years ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆63Updated 2 years ago
• mansicer / MAIC
  The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
  ☆57Updated last year
• wjh720 / QPLEX
  ☆98Updated 4 years ago
• Improbable-AI / eipo
  Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization
  ☆81Updated 2 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆40Updated 5 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆111Updated 4 years ago
• morning9393 / HAPPO-HATRPO
  ☆42Updated 3 years ago
• TonghanWang / RODE
  Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …
  ☆77Updated 8 months ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆130Updated 6 months ago
• feidieufo / homework
  Assignments for CS294-112.
  ☆30Updated 5 years ago