Alternatives and similar repositories for MAGAIL

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

• MDrW / ICML2022-IRAT
  ☆40Updated 3 years ago
• oxwhirl / comix
  ☆42Updated 4 years ago
• IouJenLiu / CMAE
  ☆49Updated 4 years ago
• 011235813 / cm3
  Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
  ☆58Updated 3 years ago
• sisl / DICG
  Deep Implicit Coordination Graphs
  ☆43Updated last year
• Johnny-Zhang92 / IRL-Essential-Code
  Generate expert demonstrations; GAIL(Generative Adversarial Imitation Learning); IRL(Inverse Reinforcement Learning)
  ☆32Updated 4 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆109Updated 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 …
  ☆80Updated last year
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆51Updated 3 years ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆88Updated 2 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆67Updated 4 years ago
• morning9393 / Optimal-Baseline-for-Multi-agent-Policy-Gradients
  ☆30Updated 4 years ago
• zlr20 / saferl_kit
  ☆77Updated 2 years ago
• sen-pai / InfoGAIL
  Pytorch implementation of InfoGAIL and WGAIL
  ☆19Updated 3 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆86Updated 3 years ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆63Updated 3 years ago
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆71Updated 2 years ago
• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆81Updated 2 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆41Updated 5 years ago
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆64Updated 2 years ago
• TonghanWang / EITI-EDTI
  Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)
  ☆33Updated 5 years ago
• morning9393 / HAPPO-HATRPO
  ☆44Updated 4 years ago
• baimingc / delay-aware-MBRL
  Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".
  ☆28Updated 5 years ago
• AgrawalAmey / safe-explorer
  Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
  ☆74Updated 6 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆136Updated 11 months ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆112Updated 4 years ago
• PKU-RL / I2C
  ☆46Updated 4 years ago
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆41Updated 3 years ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆58Updated 5 years ago
• kikojay / EMC
  The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.
  ☆41Updated 2 years ago