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
• 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
• hsjharvey / Reinforcement-Learning
  Reinforcement learning algorithm implementation
  ☆10Updated 3 years ago
• princeton-nlp / SRL-NLC
  Safe Reinforcement Learning with Natural Language Constraints
  ☆15Updated 3 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
• saiboxx / offline-reinforcement-learning
  Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)
  ☆16Updated 5 years ago
• uoe-agents / MATE
  Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
  ☆13Updated last year
• 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
• 011235813 / SEPT
  Single Episode Policy Transfer in Reinforcement Learning
  ☆17Updated 3 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• diversepsro / diverse_psro
  ☆20Updated 4 years ago
• karush17 / emix
  Energy-based Surprise Minimization for Multi-Agent Value Factorization
  ☆12Updated last year
• karush17 / esac
  Evolution-based Soft Actor-Critic (ESAC)
  ☆42Updated last year
• liziniu / HyperDQN
  Code for ICLR 2022 Paper (HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning)
  ☆12Updated last year
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆40Updated 5 years ago
• mcmachado / count_based_exploration_sr
  ☆31Updated 6 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
• philipjball / TD3_PyTorch
  ♊ Minimal PyTorch Twin Delayed DDPG (TD3) implementation
  ☆10Updated 4 years ago
• suyoung-lee / Episodic-Backward-Update
  Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.
  ☆16Updated 6 years ago
• IouJenLiu / PIC
  PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning
  ☆49Updated 4 years ago
• tessavdheiden / social_empowerment
  ☆17Updated last year
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• wendelinboehmer / dcg
  ☆78Updated last year
• cgrivera / ai-arena
  The AI Arena: A framework for distributed multi-agent reinforcement learning
  ☆14Updated 3 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆36Updated 5 years ago
• uoe-agents / seac
  The official code base of Shared Experience Actor-Critic (NeurIPS2020)
  ☆39Updated last year
• jqueeney / geppo
  Generalized Proximal Policy Optimization with Sample Reuse (GePPO)
  ☆25Updated 2 years ago
• alversafa / option-critic-arch
  Implementation of the Option-Critic Architecture
  ☆40Updated 6 years ago
• orrivlin / MountainCar_DQN_RND
  Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)
  ☆41Updated 6 years ago