Alternatives and similar repositories for multiagent-gail

Users that are interested in multiagent-gail are comparing it to the libraries listed below

• 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
• martius-lab / HiTS
  Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021
  ☆34Updated 3 years ago
• RITCHIEHuang / MAGAIL
  Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning
  ☆42Updated 3 years ago
• jiayu-ch15 / Variational-Automatic-Curriculum-Learning
  curriculum
  ☆25Updated 2 years ago
• xihuai18 / A2PO-ICLR2023
  Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)
  ☆30Updated 9 months ago
• ling-pan / RES
  ☆25Updated 3 years ago
• morning9393 / Optimal-Baseline-for-Multi-agent-Policy-Gradients
  ☆29Updated 4 years ago
• diversepsro / diverse_psro
  ☆20Updated 4 years ago
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆25Updated 2 years ago
• apexrl / CoDAIL
  Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>
  ☆18Updated 4 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• XuehaiPan / mate
  MATE: the Multi-Agent Tracking Environment.
  ☆43Updated 2 years ago
• TonghanWang / EITI-EDTI
  Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)
  ☆32Updated 5 years ago
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆68Updated 2 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
• sisl / DICG
  Deep Implicit Coordination Graphs
  ☆43Updated last year
• IouJenLiu / CMAE
  ☆49Updated 4 years ago
• rraileanu / idaac
  ☆54Updated last year
• shariqiqbal2810 / Multi-Explore
  Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"
  ☆36Updated 4 years ago
• sjtu-marl / bd_rd_psro
  Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
  ☆22Updated 3 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆40Updated 5 years ago
• montaserFath / BCO
  behavior cloning from observation
  ☆36Updated 4 years ago
• mengf1 / CHER
  Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
  ☆66Updated 5 years ago
• IouJenLiu / PIC
  PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
  ☆50Updated 4 years ago
• Mee321 / policy-distillation
  ☆14Updated 5 years ago
• yuchen-x / MacroMARL
  ☆22Updated last year
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆28Updated 3 years ago
• gjp1203 / nui_in_madrl
  Negative Update Intervals in Multi-Agent Deep Reinforcement Learning
  ☆33Updated 6 years ago
• ermongroup / multiagent-gail
  ☆84Updated 6 years ago
• Improbable-AI / eipo
  Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization
  ☆83Updated 2 years ago