Alternatives and similar repositories for neurips2022_exploration-guided-reward-shaping

Users that are interested in neurips2022_exploration-guided-reward-shaping are comparing it to the libraries listed below

• cyanrain7 / TRPO-in-MARL
  ☆215Updated 2 years ago
• tjuHaoXiaotian / pymarl3
  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…
  ☆159Updated last year
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆181Updated last year
• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆80Updated 2 years ago
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆80Updated 3 years ago
• UnrealTracking / ToM2C
  The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .
  ☆68Updated 9 months ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆60Updated 5 years ago
• wjh720 / QPLEX
  ☆97Updated 4 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆113Updated 2 years ago
• SapanaChaudhary / PyTorch-CPO
  PyTorch implementation of Constrained Policy Optimization
  ☆55Updated 3 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆105Updated 3 years ago
• yeshenpy / ERL-Re2
  This is the official implementation of ERL-Re2.
  ☆65Updated last year
• CDM1619 / Networked-MB-MARL
  ☆90Updated 3 weeks ago
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆141Updated last year
• keep9oing / DRQN-Pytorch-CartPole-v1
  Deep recurrent Q learning on CartPole-v1 environment
  ☆91Updated last year
• TJU-DRL-LAB / self-supervised-rl
  ☆41Updated 3 years ago
• oxwhirl / facmac
  ☆101Updated 3 years ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆59Updated 5 years ago
• liuzuxin / FSRL
  🚀 A fast safe reinforcement learning library in PyTorch
  ☆204Updated 10 months ago
• PKU-RL / RoadnetSZ
  ☆17Updated 2 years ago
• nsidn98 / InforMARL
  Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
  ☆118Updated last month
• liushunyu / CIA
  [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
  ☆35Updated last year
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆138Updated 4 years ago
• XinJingHao / PPO-Discrete-Pytorch
  A clean and robust Pytorch implementation of PPO on Discrete action space
  ☆69Updated last year
• akjayant / PPO_Lagrangian_PyTorch
  Implementation of PPO Lagrangian in PyTorch
  ☆50Updated 2 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
• TimeBreaker / Adversarial-Reinforcement-Learning-Papers
  Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)
  ☆71Updated 2 years ago
• TimeBreaker / Multi-Agent-Reinforcement-Learning-papers
  Multi-Agent Reinforcement Learning (MARL) papers
  ☆268Updated 2 years ago
• xihuai18 / A2PO-ICLR2023
  Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)
  ☆29Updated 7 months ago
• tbasaklar / PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm
  A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…
  ☆33Updated last year