Alternatives and similar repositories for jaxrl_m

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

• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆100Updated 11 months ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆68Updated last year
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆38Updated last year
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆73Updated 11 months ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆113Updated 3 years ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆82Updated 5 months ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆54Updated last year
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆54Updated 2 years ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆85Updated last year
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
  ☆92Updated 9 months ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 10 months ago
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆100Updated 2 years ago
• OffDynamicsRL / off-dynamics-rl
  ☆44Updated 5 months ago
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆45Updated last week
• SonyResearch / simba
  ☆82Updated 2 months ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• MichaelTMatthews / Craftax_Baselines
  ☆19Updated 3 months ago
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆100Updated 2 years ago
• ethanluoyc / corax
  Corax: Core RL in JAX
  ☆38Updated last year
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated last year
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆165Updated last month
• Lifelong-ML / CompoSuite
  Official release of CompoSuite, a compositional RL benchmark
  ☆47Updated last year
• zhouzypaul / wsrl
  JAX implementation of WSRL and RL baselines | ICLR 2025
  ☆42Updated 2 weeks ago
• jianlanluo / SAQ
  ☆32Updated last year
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆19Updated last year
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆77Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆55Updated last year
• namsan96 / SiMPL
  ☆48Updated last year