Alternatives and similar repositories for DARC

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

• huanghanchi / CAMRL
  ☆30Updated 2 years ago
• xihuai18 / A2PO-ICLR2023
  Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)
  ☆29Updated 4 months ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• mantle2048 / rlplot
  rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").
  ☆31Updated last year
• Amanda2024 / GCS_aamas337
  The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
  ☆41Updated 3 years ago
• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆62Updated 10 months ago
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆34Updated last year
• dmksjfl / MCQ
  Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
  ☆56Updated last year
• jiayu-ch15 / Variational-Automatic-Curriculum-Learning
  curriculum
  ☆24Updated 2 years ago
• TJU-DRL-LAB / self-supervised-rl
  ☆38Updated 3 years ago
• maoyixiu / DMG
  ☆13Updated 5 months ago
• liyc-ai / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆26Updated last month
• quantumiracle / Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations
  Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms includ…
  ☆31Updated 2 years ago
• ling-pan / RES
  ☆26Updated 3 years ago
• martius-lab / HiTS
  Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021
  ☆34Updated 2 years ago
• liuzuxin / safe-rl-robustness
  Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)
  ☆46Updated 5 months ago
• sisl / DICG
  Deep Implicit Coordination Graphs
  ☆41Updated 11 months ago
• YangRui2015 / Sparse-Reward-Algorithms
  Implement many Sparse Reward algorithms in Gym Fetch environment
  ☆86Updated 4 years ago
• PKU-RL / CORRO
  CORRO code
  ☆35Updated 2 years ago
• DrZero0 / MACC
  The implementation of IJCAI'22 paper "Multi-Agent Concentrative Coordination with Decentralized Task Representation".
  ☆16Updated 3 years ago
• Jiwonjeon9603 / MASER
  This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…
  ☆21Updated last year
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 years ago
• Stanford-ILIAD / Confidence-Aware-Imitation-Learning
  ☆39Updated 3 years ago
• henrycharlesworth / PlanGAN
  ☆17Updated 3 years ago
• shehryar-malik / icrl
  Inverse Constrained Reinforcement Learning (ICML 2021)
  ☆23Updated 3 years ago
• dragen1860 / MAML-Pytorch-RL
  ☆31Updated last year
• karush17 / esac
  Evolution-based Soft Actor-Critic (ESAC)
  ☆42Updated 9 months ago
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆68Updated last year
• ling-pan / OMAR
  ☆46Updated 2 years ago
• LQNew / Continuous_Control_Benchmark
  Benchmark data (i.e., DeepMind Control Suite and MuJoCo) for RL.
  ☆28Updated 4 years ago