Alternatives and similar repositories for Cal-QL:

Users that are interested in Cal-QL are comparing it to the libraries listed below

• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆82Updated 5 months ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆100Updated 11 months ago
• jrobine / twm
  Transformer-based World Models
  ☆81Updated 2 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆113Updated 3 years ago
• philippe-eecs / IDQL
  Repo for Implicit Diffusion Q-Learning
  ☆106Updated last year
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆68Updated last year
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆93Updated 11 months ago
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆160Updated last month
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆53Updated 2 years ago
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆86Updated 2 years ago
• ryanxhr / IVR
  [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…
  ☆44Updated last year
• OffDynamicsRL / off-dynamics-rl
  ☆44Updated 5 months ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆80Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 10 months ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆73Updated 2 months ago
• young-geng / CQL
  Conservative Q Learning on top of SAC
  ☆131Updated 2 years ago
• d5rlbenchmark / d5rl
  ☆25Updated last year
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆109Updated 2 years ago
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆37Updated last year
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆54Updated last year
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆70Updated 11 months ago
• namsan96 / SiMPL
  ☆48Updated last year
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆71Updated 2 years ago
• younggyoseo / apv
  ☆70Updated 2 years ago
• yihaosun1124 / mobile
  Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization
  ☆18Updated last year
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated last year
• 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
• timoklein / redo
  ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)
  ☆25Updated 6 months ago
• UT-Austin-RPL / amago
  a simple and scalable agent for training adaptive policies with sequence-based RL
  ☆119Updated last week
• etaoxing / multigame-dt
  Implementation of Multi-Game Decision Transformers in PyTorch
  ☆46Updated 2 years ago