Alternatives and similar repositories for paper

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

• OffDynamicsRL / off-dynamics-rl
  ☆60Updated this week
• shlee94 / Off2OnRL
  ☆60Updated 2 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆71Updated 6 months ago
• PKU-RL / CORRO
  [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
  ☆40Updated 3 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆58Updated 2 years ago
• elliotchanesane31 / RIS
  ☆56Updated 4 years ago
• apexrl / GCRL-Collection
  This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…
  ☆143Updated 2 years ago
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆162Updated 2 years ago
• clvrai / skimo
  Skill-based Model-based Reinforcement Learning (CoRL 2022)
  ☆64Updated 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
• SafeRL-Lab / Robust-Gymnasium
  [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.
  ☆82Updated 5 months 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").
  ☆34Updated 2 years ago
• trzhang0116 / HRAC
  PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…
  ☆44Updated 2 years ago
• KarlXing / RL-Visual-Continuous-Control
  RL Algorithms for Visual Continuous Control
  ☆36Updated 2 years ago
• CORE-Robotics-Lab / SSRR
  Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21
  ☆23Updated 4 years ago
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆35Updated 3 years ago
• montaserFath / BCO
  behavior cloning from observation
  ☆38Updated 5 years ago
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆85Updated 2 weeks ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆113Updated last year
• BellmanTimeHut / DIPO
  ☆120Updated 2 years ago
• marc-rigter / rambo
  Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022
  ☆32Updated 2 years ago
• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆71Updated last year
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆176Updated last year
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆107Updated last year
• liuzuxin / DSRL
  🔥 Datasets and env wrappers for offline safe reinforcement learning
  ☆121Updated 2 months ago
• hari-sikchi / AWAC
  Advantage weighted Actor Critic for Offline RL
  ☆52Updated 3 years ago
• baitingzbt / PEDA
  Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023
  ☆33Updated last year
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆76Updated 10 months ago
• TToTMooN / paco-mtrl
  ☆30Updated 2 years ago
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆117Updated last year