Alternatives and similar repositories for dcg:

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

• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆62Updated 2 years ago
• sisl / DICG
  Deep Implicit Coordination Graphs
  ☆41Updated 11 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
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆57Updated 3 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 5 years ago
• ml3705454 / mapr2
  ☆44Updated 2 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 3 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆40Updated 4 years ago
• QDPP-GitHub / QDPP
  Multi-Agent Determinantal Q-Learning
  ☆42Updated 2 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆102Updated 2 years ago
• MAS-anony / ASN
  ☆32Updated 2 years ago
• IouJenLiu / CMAE
  ☆49Updated 3 years ago
• wjh720 / QPLEX
  ☆93Updated 4 years ago
• garrett4wade / revisiting_marl
  Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)
  ☆22Updated 2 years ago
• 011235813 / cm3
  Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
  ☆56Updated 2 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆40Updated 6 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 3 years ago
• activatedgeek / qmix
  ☆26Updated 7 years ago
• shariqiqbal2810 / Multi-Explore
  Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"
  ☆35Updated 3 years ago
• oxwhirl / comix
  ☆44Updated 4 years ago
• gjp1203 / nui_in_madrl
  Negative Update Intervals in Multi-Agent Deep Reinforcement Learning
  ☆33Updated 5 years ago
• TonghanWang / ROMA
  Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
  ☆160Updated 2 years ago
• tjuHaoXiaotian / GASIL
  Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems
  ☆31Updated 6 years ago
• saizhang0218 / VBC
  pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
  ☆53Updated 2 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆40Updated 2 years ago
• hsvgbkhgbv / SQDDPG
  This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …
  ☆118Updated 6 months ago
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆24Updated 2 years ago
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆49Updated 2 years ago