Alternatives and similar repositories for intro-rl

Users that are interested in intro-rl are comparing it to the libraries listed below

• mahaitongdae / diffusion_policy_online_rl
  ☆19Updated 2 weeks ago
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆132Updated 2 weeks ago
• Stanford-ILIAD / APReL
  A Library for Active Preference-based Reward Learning Algorithms
  ☆51Updated last year
• chenran-li / RQL-release
  (NeurIPS 2023) Residual Q-Learning: Offline and Online Policy Customization without Value
  ☆33Updated last year
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆35Updated 2 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆35Updated 3 years ago
• MichalBortkiewicz / JaxGCRL
  Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
  ☆175Updated 2 months ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆89Updated last year
• maoliyuan / ODICE-Pytorch
  official implementation of ODICE
  ☆18Updated last year
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆109Updated 2 years ago
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆44Updated last year
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆211Updated 3 weeks ago
• jrobine / twm
  Transformer-based World Models
  ☆84Updated 2 years ago
• younggyoseo / MWM
  Masked World Models for Visual Control
  ☆127Updated 2 years ago
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated last year
• seohongpark / fql
  The official implementation of flow Q-learning (FQL)
  ☆188Updated this week
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆115Updated 11 months ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• kvfrans / cfgrl
  ☆43Updated last month
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated last year
• yunhaif / fowm
  Finetuning Offline World Models in the Real World
  ☆59Updated last year
• quantumiracle / Consistency_Model_For_Reinforcement_Learning
  Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
  ☆26Updated 10 months ago
• Learning-and-Intelligent-Systems / predicators
  Learning for effective and efficient bilevel planning
  ☆119Updated 2 weeks ago
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆40Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆86Updated 7 months ago
• jhejna / inverse-preference-learning
  ☆42Updated 2 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated last year
• zhaohengyin / EfficientImitate
  Codebase of NeurIPS 2022 paper ''Planning for Sample Efficient Imitation Learning''
  ☆40Updated 2 years ago
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆71Updated 3 years ago