Alternatives and similar repositories for ale-nl

Users that are interested in ale-nl are comparing it to the libraries listed below

• MichalBortkiewicz / JaxGCRL
  Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
  ☆207Updated last month
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆301Updated 2 months ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆112Updated last year
• SonyResearch / simba
  ☆114Updated 10 months ago
• naumix / BiggerRegularizedOptimistic
  Official implementation of the BRO algorithm
  ☆53Updated 11 months ago
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆183Updated last week
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆82Updated last year
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆115Updated last year
• aalmuzairee / dmcgb2
  Official release of the DMControl Generalization Benchmark 2 (DMC-GB2)
  ☆22Updated 5 months ago
• lilucse / SparseNetwork4DRL
  [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
  ☆39Updated 6 months ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆92Updated 2 years 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
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆22Updated 2 years ago
• OffDynamicsRL / off-dynamics-rl
  ☆60Updated 3 weeks ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆229Updated last month
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆92Updated last year
• nicklashansen / dmcontrol-generalization-benchmark
  DMControl Generalization Benchmark
  ☆186Updated last year
• danijar / director
  Deep Hierarchical Planning from Pixels
  ☆112Updated 3 years ago
• jrobine / twm
  Transformer-based World Models
  ☆86Updated 2 years ago
• jypark0 / bmil
  ☆11Updated 3 years ago
• ikostrikov / jaxrl2
  ☆52Updated 2 years ago
• timoklein / redo
  ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)
  ☆32Updated last year
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆56Updated 2 years ago
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆131Updated last year
• weipu-zhang / STORM
  ☆120Updated last month
• roger-creus / stable-deep-rl-at-scale
  Code for the paper "Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning". Great performance in many environments…
  ☆33Updated 2 months ago
• pbecker93 / vrkn
  Code for "On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning" (TMLR, 2022)
  ☆19Updated 2 years ago
• ShaneFlandermeyer / tdmpc2-jax
  Jax/Flax Implementation of TD-MPC2
  ☆69Updated last week
• Probabilistic-and-Interactive-ML / awesome-plasticity-loss
  Collection of resources on plasticity loss in deep reinforcement learning
  ☆23Updated last year
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆173Updated last month