Stars
[CVPR 2023] ReasonNet: End-to-End Driving with Temporal and Global Reasoning
🚀 免费订阅地址，🚀 免费节点，🚀 6小时更新一次，共享节点，节点质量高可用，完全免费。免费clash订阅地址，免费翻墙、免费科学上网、免费梯子、免费ss/v2ray/trojan节点、谷歌商店、翻墙梯子。🚀 Free subscription address, 🚀 Free node, 🚀 Updated every 6 hours, shared node, high-quality n…
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
A curated list of reinforcement learning with human feedback resources (continually updated)
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
A collection of research papers for Driving Behavior Prediction
A curated list of awesome Bioinformatics libraries and software.
😎 Awesome lists about all kinds of interesting topics
🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)
A curated list of awesome End-to-End Autonomous Driving resources (continually updated)
[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".
A collection of research papers for AI-based protein design
Decision Intelligence Adventure for Beginners
1024 + 深度强化学习（Deep Reinforcement Learning + 1024 Game/ 2048 Game)
A curated list of Diffusion Model in RL resources (continually updated)
Decision Intelligence for digging best parameters in target environment.
A curated list of Multi-Modal Reinforcement Learning resources (continually updated)
羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game)
A curated list of awesome exploration RL resources (continually updated)
A curated list of Decision Transformer resources (continually updated)
[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
📚 Freely available programming books
Interested in multi-agents? The 1st Go-Bigger Multi-Agent Decision Intelligence Challenge is coming and a big bonus is waiting for you!
Still struggling with the high threshold or looking for the appropriate baseline? Come here and new starters can also play with your own multi-agents!