OpenDILab Decision AI Engine
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Updated
May 30, 2024 - Python
OpenDILab Decision AI Engine
Clean single-file implementation of offline RL algorithms in JAX
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Reinforcement Learning Short Course
An index of algorithms for offline reinforcement learning (offline-rl)
An offline deep reinforcement learning library
A Japanese (Riichi) Mahjong AI Framework
DI-engine docs (Chinese and English)
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
Benchmarked implementations of Offline RL Algorithms.
Implemenation of CORL for Fetch and Unitree A1 tasks
code for paper Query-Dependent Prompt Evaluation and Optimization with Offline Inverse Reinforcement Learning
🧠 Learning World Value Functions without Exploration
SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection
Need 4 Speed, FYP 2023-24 @ Monash.
Author's repository for GSM8K-AI-SubQ reasoning dataset
オフライン強化学習用フレームワーク及びSCQL,SCQL+Dの実装
The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)
Codes accompanying the paper "On the Role of Discount Factor in Offline Reinforcement Learning" (ICML 2022)
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