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- Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).
- [NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
CleanS2S
PublicHigh-quality and streaming Speech-to-Speech interactive agent in a single file. 只用一个文件实现的流式全双工语音交互原型智能体!- A curated list of reinforcement learning with human feedback resources (continually updated)
- A curated list of awesome model based RL resources (continually updated)
DI-treetensor
PublicLet DI-treetensor help you simplify the structure processing!(树形运算一不小心就逻辑混乱?DI-treetensor快速帮你搞定)treevalue
PublicHere are the most awesome tree structure computing solutions, make your life easier. (这里有目前性能最优的树形结构计算解决方案)- A curated list of Diffusion Model in RL resources (continually updated)
awesome-exploration-rl
PublicA curated list of awesome exploration RL resources (continually updated)- A curated list of Decision Transformer resources (continually updated)
DI-engine
PublicOpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.awesome-ui-agents
PublicSmartRefine
Public[CVPR 2024] SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion PredictionLLMRiddles
PublicDI-1024
Public1024 + 深度强化学习(Deep Reinforcement Learning + 1024 Game/ 2048 Game)DI-engine-docs
PublicLMDrive
Publicpytorch_sphinx_theme
PublicDI-hpc
PublicSO2
PublicPPOxFamily
PublicPPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )- A collection of research papers for AI-based protein design
DI-star
PublicAn artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.OpenPaL
PublicBuilding open-ended embodied agent in battle royale FPS gameInterFuser
Public[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion TransformerDI-toolkit
PublicCodeMorpheus
Publichuggingface_ding
PublicAuxiliary code for pulling, loading reinforcement learning models based on DI-engine from the Huggingface Hub, or pushing them onto Huggingface Hub with auto-created model card.