Alternatives and similar repositories for intro-rl

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

• MichalBortkiewicz / JaxGCRL
  Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
  ☆188Updated 4 months ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆94Updated 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
• 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
• maoliyuan / ODICE-Pytorch
  official implementation of ODICE
  ☆18Updated last year
• mahaitongdae / diffusion_policy_online_rl
  ☆27Updated last month
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated last year
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆142Updated 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
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆95Updated 5 months ago
• JasonMa2016 / CODAC
  Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)
  ☆21Updated 4 years ago
• SonyResearch / simba
  ☆105Updated 7 months ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆89Updated 9 months ago
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆246Updated 2 months ago
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆124Updated last year
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• haotiansun14 / spectral-rl2
  Representation Learning (RepL) Methods in Reinforcement Learning and Causal Inference
  ☆28Updated 11 months ago
• quantumiracle / Consistency_Model_For_Reinforcement_Learning
  Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
  ☆26Updated last year
• philippe-eecs / IDQL
  Repo for Implicit Diffusion Q-Learning
  ☆114Updated last year
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆47Updated 4 months ago
• chenran-li / RQL-release
  (NeurIPS 2023) Residual Q-Learning: Offline and Online Policy Customization without Value
  ☆34Updated last year
• seohongpark / fql
  The official implementation of flow Q-learning (FQL)
  ☆231Updated 2 months ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆73Updated last year
• jhejna / inverse-preference-learning
  ☆43Updated 2 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆56Updated 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
• notmahi / bet
  Code and website for Behavior Transformers: Cloning k modes with one stone.
  ☆132Updated 2 years ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆78Updated last year
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆27Updated 2 years ago
• jrobine / twm
  Transformer-based World Models
  ☆85Updated 2 years ago