Alternatives and similar repositories for Atari-DRL:

Users that are interested in Atari-DRL are comparing it to the libraries listed below

• wjh720 / QPLEX
  ☆93Updated 4 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 …
  ☆73Updated 3 months ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 5 years ago
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆57Updated 2 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 3 years ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆84Updated 2 years ago
• kikojay / EMC
  The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.
  ☆40Updated 2 years ago
• mansicer / MAIC
  The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
  ☆52Updated last year
• ymzhang01 / focops
  Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).
  ☆26Updated 3 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆134Updated 4 years ago
• x35f / meta_rl
  Meta RL codebase for Unstable Baselines
  ☆21Updated 2 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆104Updated 2 years ago
• oxwhirl / comix
  ☆43Updated 4 years ago
• IouJenLiu / CMAE
  ☆48Updated 3 years ago
• oxwhirl / facmac
  ☆96Updated 3 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆58Updated 4 years ago
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆108Updated last year
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆75Updated 5 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆106Updated 3 years ago
• ShAw7ock / MPE-Multiagent-RL-Algos
  Simple verification experiments codes for multi-agent RL using OpenAI MPE environment
  ☆32Updated 2 years ago
• benellis3 / pymarl2
  Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
  ☆18Updated last year
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 years ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆62Updated 2 years ago
• isp1tze / MAProj
  Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
  ☆117Updated 2 years ago
• morning9393 / HAPPO-HATRPO
  ☆42Updated 3 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆99Updated 2 years ago
• jingranburangyongzhongwen / torchMARL
  pytorch实现的一些MARL算法
  ☆66Updated 3 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
• Theohhhu / UPDeT
  Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…
  ☆131Updated 4 years ago
• rlchina / RLCN
  ☆123Updated 3 years ago