Alternatives and similar repositories for Regym

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

• bonniesjli / DQN_SR
  Count based exploration with the successor representation for Unity ML's Pyramid
  ☆12Updated 6 years ago
• rems75 / SPIBB-DQN
  Code for SPIBB-DQN and Soft-SPIBB-DQN
  ☆11Updated 5 years ago
• instadeepai / EGTA-NMARL
  Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-…
  ☆18Updated 4 years ago
• quantumiracle / nash-dqn
  Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…
  ☆20Updated 3 years ago
• kngwyu / Rainy
  Deep RL agents with PyTorch
  ☆35Updated 3 years ago
• TARTRL / TiZero
  Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体
  ☆14Updated 2 years ago
• TomZahavy / GrayingTheBox
  Code implementation of: "Graying the black box: Understanding DQNs"
  ☆20Updated 8 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆40Updated 5 years ago
• diversepsro / diverse_psro
  ☆18Updated 4 years ago
• sjtu-marl / bd_rd_psro
  Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
  ☆21Updated 3 years ago
• uoe-agents / MATE
  Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
  ☆13Updated last year
• 011235813 / SEPT
  Single Episode Policy Transfer in Reinforcement Learning
  ☆17Updated 3 years ago
• liziniu / HyperDQN
  Code for ICLR 2022 Paper (HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning)
  ☆12Updated last year
• navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
  This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
  ☆62Updated 6 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆36Updated 5 years ago
• dannysdeng / dqn-pytorch
  PyTorch - Implicit Quantile Networks - Quantile Regression - C51
  ☆22Updated 6 years ago
• princeton-nlp / SRL-NLC
  Safe Reinforcement Learning with Natural Language Constraints
  ☆15Updated 3 years ago
• arushijain94 / SafeOptionCritic
  Safe Option-Critic: Learning Safety in the Option-Critic Architecture
  ☆20Updated 6 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆40Updated 6 years ago
• IouJenLiu / PIC
  PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
  ☆49Updated 4 years ago
• jqueeney / geppo
  Generalized Proximal Policy Optimization with Sample Reuse (GePPO)
  ☆25Updated 2 years ago
• cgrivera / ai-arena
  The AI Arena: A framework for distributed multi-agent reinforcement learning
  ☆14Updated 3 years ago
• tjuHaoXiaotian / GASIL
  Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems
  ☆31Updated 6 years ago
• tessavdheiden / social_empowerment
  ☆17Updated last year
• mcmachado / count_based_exploration_sr
  ☆31Updated 6 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆28Updated 6 years ago
• philipjball / TD3_PyTorch
  ♊ Minimal PyTorch Twin Delayed DDPG (TD3) implementation
  ☆10Updated 4 years ago
• tianjunz / NovelD
  ☆40Updated 3 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago