OpenDILab Decision AI Engine
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Updated
May 24, 2024 - Python
OpenDILab Decision AI Engine
An offline deep reinforcement learning library
An index of algorithms for offline reinforcement learning (offline-rl)
DI-engine docs (Chinese and English)
A Japanese (Riichi) Mahjong AI Framework
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Reinforcement Learning Short Course
Learning representations for RL in Healthcare under a POMDP assumption
🤖 Elegant implementations of offline safe RL algorithms in PyTorch
Extreme Q-Learning: Max Entropy RL without Entropy
A large-scale multi-modal pre-trained model
SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection
An out-of-the-box GUI tool for offline deep reinforcement learning
ExORL: Exploratory Data for Offline Reinforcement Learning
Benchmarked implementations of Offline RL Algorithms.
Model-based Offline Policy Optimization re-implement all by pytorch
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