microsoft / HuRL

Related projects ⓘ

Alternatives and complementary repositories for HuRL

• microsoft / strategically_efficient_rl
  More efficient exploration for reinforcement learning in two-player, zero-sum game
  ☆17Updated 3 months ago
• microsoft / MAMBA
  Imitation learning from multiple experts
  ☆12Updated 2 years ago
• microsoft / autorl-research
  The collection of the research works about Automatic Reinforcement Learning in Microsoft Research Asia.
  ☆48Updated last year
• microsoft / EPPO
  An implementation of effective policy ensemble.
  ☆10Updated last year
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆41Updated last year
• frt03 / jax_dt
  Minimal Decision Transformer Implementation written in Jax (Flax).
  ☆17Updated 2 years ago
• zhxieml / PDT
  Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer
  ☆27Updated last year
• facebookresearch / ExPLORe
  This is code to accompany the paper "Accelerating Exploration with Unlabeled Prior Data".
  ☆20Updated 11 months ago
• ReinholdM / Papers-of-Offline-RL
  Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)
  ☆17Updated 2 years ago
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆23Updated 2 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆26Updated 2 years ago
• google-deepmind / active_ops
  ☆30Updated 3 months ago
• frankroeder / lanro-gym
  OpenAI gym environments for goal-conditioned and language-conditioned reinforcement learning
  ☆13Updated 2 years ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆15Updated 2 years ago
• sail-sg / offbench
  ☆13Updated last year
• Vision-CAIR / AF-Guide
  Official repository of Action-Free Guide
  ☆11Updated last year
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆21Updated 3 years ago
• zzyunzhi / vds
  Code for Automatic Curriculum Learning through Value Disagreement
  ☆30Updated 4 years ago
• notmahi / disk
  PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…
  ☆18Updated 2 years ago
• jdchang1 / milo
  ☆15Updated 3 years ago
• microsoft / smart
  Codebase for ICLR 2023 paper, "SMART: Self-supervised Multi-task pretrAining with contRol Transformers"
  ☆50Updated 9 months ago
• rll-research / finetune-vs-metarl
  ☆14Updated 2 years ago
• kschweig / OfflineRL
  Experiment for Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning
  ☆24Updated last year
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆36Updated 3 weeks ago
• ml-jku / OfflineRL
  ☆29Updated last year
• google-deepmind / agent_debugger
  Causal Analysis of Agent Behavior for AI Safety
  ☆17Updated last year
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆22Updated 7 months ago
• microsoft / rl-offline-simulation
  Data-driven offline simulation for online reinforcement learning: benchmark and baselines
  ☆27Updated 3 months ago
• keraJLi / synthetic-gymnax
  ☆17Updated 5 months ago
• adaptive-intelligent-robotics / QDAC
  Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …
  ☆12Updated 5 months ago