OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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Updated
Aug 14, 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.
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
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
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
Clean single-file implementation of offline RL algorithms in JAX
Extreme Q-Learning: Max Entropy RL without Entropy
🔥 Datasets and env wrappers for offline safe reinforcement learning
Benchmarked implementations of Offline RL Algorithms.
Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).
Learning representations for RL in Healthcare under a POMDP assumption
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