OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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Updated
Jul 6, 2024 - Python
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
An offline deep reinforcement learning library
An index of algorithms for offline reinforcement learning (offline-rl)
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
DI-engine docs (Chinese and English)
A Japanese (Riichi) Mahjong AI Framework
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"
🤖 Elegant implementations of offline safe RL algorithms in PyTorch
A large-scale multi-modal pre-trained model
SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection
ExORL: Exploratory Data for Offline Reinforcement Learning
An out-of-the-box GUI tool for offline deep reinforcement learning
Extreme Q-Learning: Max Entropy RL without Entropy
Clean single-file implementation of offline RL algorithms in JAX
Benchmarked implementations of Offline RL Algorithms.
🔥 Datasets and env wrappers for offline safe reinforcement learning
Learning representations for RL in Healthcare under a POMDP assumption
Reinforcement Learning Short Course
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