Alternatives and similar repositories for WiseRL

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

• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆76Updated 9 months ago
• xionghuichen / MAPLE
  The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)
  ☆24Updated last year
• liyc-ai / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆26Updated 4 months ago
• Zzl35 / flow-to-better
  ☆25Updated last year
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆119Updated 3 years ago
• yihaosun1124 / mobile
  Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization
  ☆22Updated last year
• csmile-1006 / PreferenceTransformer
  Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)
  ☆166Updated 2 years ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 2 years ago
• FanmingL / SmartLogger
  ☆12Updated last year
• x35f / unstable_baselines
  Re-implementations of SOTA RL algorithms.
  ☆136Updated 2 years ago
• jon--lee / decision-pretrained-transformer
  Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…
  ☆80Updated last year
• LAMDA-RL / PRDC
  Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…
  ☆18Updated last year
• mantle2048 / rlplot
  rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").
  ☆33Updated 2 years ago
• xionghuichen / RLAssistant
  RLA is a tool for managing your RL experiments automatically
  ☆72Updated 2 years ago
• 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
• d5rlbenchmark / d5rl
  ☆29Updated 2 years ago
• jhejna / inverse-preference-learning
  ☆42Updated 2 years ago
• typoverflow / UtilsRL
  A python module designed for agile RL algorithm developing.
  ☆26Updated last year
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆61Updated last year
• lilucse / SparseNetwork4DRL
  [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
  ☆39Updated 6 months ago
• gwthomas / IQL-PyTorch
  A PyTorch implementation of Implicit Q-Learning
  ☆93Updated 4 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…
  ☆47Updated 2 years ago
• Lifelong-ML / offline-compositional-rl-datasets
  ☆20Updated last year
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆132Updated 4 years ago
• baitingzbt / PEDA
  Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023
  ☆33Updated last year
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆112Updated last year
• OffDynamicsRL / off-dynamics-rl
  ☆59Updated 2 weeks ago
• dmksjfl / MCQ
  Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
  ☆60Updated last year
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆107Updated last year