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.
  ☆180Updated 3 months ago
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆231Updated 2 months 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
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated last year
• notmahi / bet
  Code and website for Behavior Transformers: Cloning k modes with one stone.
  ☆130Updated 2 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆108Updated last year
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆136Updated 3 weeks ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆94Updated 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
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆73Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆88Updated 9 months ago
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆107Updated last year
• jrobine / twm
  Transformer-based World Models
  ☆85Updated 2 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated last year
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆46Updated 3 months ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆35Updated 2 years ago
• roger-creus / ale-nl
  A framework for evaluating LLMs in Atari games
  ☆15Updated 4 months ago
• haotiansun14 / spectral-rl2
  Representation Learning (RepL) Methods in Reinforcement Learning and Causal Inference
  ☆28Updated 11 months ago
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated last year
• 51616 / marl-lipo
  Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)
  ☆18Updated last year
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆146Updated 2 years ago
• fdeng18 / dreamer-pro
  ☆36Updated 2 years ago
• SonyResearch / simba
  ☆104Updated 6 months ago
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆120Updated last year
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆44Updated last year
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆92Updated 4 months ago
• CORE-Robotics-Lab / SSRR
  Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21
  ☆23Updated 4 years ago
• google-research / relay-policy-learning
  ☆124Updated 5 years ago
• pokaxpoka / B_Pref
  ☆51Updated 2 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago