Alternatives and similar repositories for metaworld-algorithms

Users that are interested in metaworld-algorithms are comparing it to the libraries listed below

• SonyResearch / simba
  ☆114Updated 10 months ago
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆155Updated last week
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆130Updated 6 months ago
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆116Updated last year
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆107Updated last year
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆104Updated 3 months ago
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆184Updated 2 weeks ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆112Updated last year
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆61Updated last year
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆231Updated last month
• naumix / BiggerRegularizedOptimistic
  Official implementation of the BRO algorithm
  ☆53Updated 11 months ago
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆157Updated 2 years ago
• jrobine / twm
  Transformer-based World Models
  ☆87Updated 2 years ago
• jhejna / inverse-preference-learning
  ☆42Updated 2 years ago
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆120Updated 3 years ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆91Updated last year
• NJU-RL / Meta-DT
  [NeurIPS 2024] Official Implementation of Meta-DT
  ☆50Updated last year
• DAVIAN-Robotics / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆82Updated 2 months ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆22Updated 2 years ago
• MichalBortkiewicz / JaxGCRL
  Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
  ☆211Updated last month
• OffDynamicsRL / off-dynamics-rl
  ☆60Updated last month
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆93Updated 2 years ago
• csmile-1006 / PreferenceTransformer
  Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)
  ☆166Updated 2 years ago
• chwoong / LiRE
  Listwise Reward Estimation for Offline Preference-based Reinforcement Learning (ICML 2024)
  ☆17Updated last year
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆82Updated last year
• RLE-Foundation / Plasticine
  Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.
  ☆34Updated last week
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆107Updated last year
• lilucse / SparseNetwork4DRL
  [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
  ☆39Updated 7 months ago
• kristery / Elastic-DT
  [NeurIPS 2023] Implementation of Elastic Decision Transformer
  ☆38Updated 2 years ago