Alternatives and similar repositories for GASIL:

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

• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆63Updated 2 years ago
• wendelinboehmer / dcg
  ☆71Updated 7 months ago
• IouJenLiu / CMAE
  ☆47Updated 3 years ago
• gjp1203 / nui_in_madrl
  Negative Update Intervals in Multi-Agent Deep Reinforcement Learning
  ☆32Updated 5 years ago
• MAS-anony / ASN
  ☆32Updated 2 years ago
• dadadidodi / m3ddpg
  ☆52Updated 6 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆38Updated 4 years ago
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆44Updated 2 years ago
• Gouet / QMIX-Starcraft
  ☆18Updated 5 years ago
• rraileanu / idaac
  ☆54Updated 11 months ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 7 years ago
• navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
  This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
  ☆60Updated 5 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
• junjungoal / IMPALA-pytorch
  PyTorch IMPALA implementation
  ☆25Updated 5 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 2 years ago
• saizhang0218 / VBC
  pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
  ☆51Updated 2 years ago
• morning9393 / Optimal-Baseline-for-Multi-agent-Policy-Gradients
  ☆28Updated 3 years ago
• ml3705454 / mapr2
  ☆44Updated 2 years ago
• gyh75520 / Relational_DRL
  Implementation of Relational Deep Reinforcement Learning
  ☆25Updated 4 years ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆44Updated 3 years ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 3 years ago
• ermongroup / MetaIRL
  Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
  ☆71Updated last year
• jparkerholder / DvD_ES
  Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…
  ☆44Updated 4 years ago
• Hwhitetooth / lirpg
  ☆60Updated 6 years ago
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆56Updated 2 years ago
• ewanlee / ICLR2019-RL-Papers
  The Reinforcement-Learning-Related Papers of ICLR 2019
  ☆47Updated 5 years ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆93Updated 2 years ago
• jiangsy / mbpo_pytorch
  ☆28Updated 2 years ago
• suyoung-lee / Episodic-Backward-Update
  Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.
  ☆17Updated 5 years ago