Alternatives and similar repositories for BiggerRegularizedOptimistic

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

• SonyResearch / simba
  ☆110Updated 8 months ago
• MichalBortkiewicz / JaxGCRL
  Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.
  ☆193Updated last week
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆284Updated last month
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆90Updated 2 years ago
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆120Updated last month
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆114Updated last year
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆112Updated last year
• MichaelTMatthews / Craftax_Baselines
  ☆19Updated 6 months ago
• samlobel / CFN
  Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023
  ☆22Updated last year
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆121Updated 4 months ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆102Updated last month
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆91Updated 11 months ago
• jrobine / twm
  Transformer-based World Models
  ☆86Updated 2 years ago
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆147Updated 3 months ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆80Updated last year
• DAVIAN-Robotics / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆77Updated 2 weeks ago
• timoklein / redo
  ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)
  ☆30Updated last year
• d5rlbenchmark / d5rl
  ☆29Updated 2 years ago
• OffDynamicsRL / off-dynamics-rl
  ☆56Updated 2 weeks ago
• seohongpark / horizon-reduction
  The official implementation of "Horizon Reduction Makes RL Scalable"
  ☆159Updated 3 months ago
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆160Updated 10 months ago
• RLE-Foundation / Plasticine
  Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.
  ☆29Updated 5 months ago
• lilucse / SparseNetwork4DRL
  [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
  ☆39Updated 5 months ago
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆106Updated last year
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated last year
• XuGW-Kevin / DrM
  DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …
  ☆76Updated last year
• Dragon-Zhuang / Reinformer
  Official code for ICML 2024 paper Reinformer: Max-Return Sequence Modeling for offline RL
  ☆44Updated last year
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated 2 years ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆220Updated last week
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆117Updated 3 years ago