awesome-deeplearning-resources and awesome-rl
These are complements: the first provides broad deep learning and deep reinforcement learning resources across papers and implementations, while the second offers a curated RL-specific collection of papers, books, code, and benchmarks that would be used together with the former for comprehensive reinforcement learning study.
About awesome-deeplearning-resources
endymecy/awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
This resource helps machine learning researchers, data scientists, and AI practitioners stay current with the latest advancements in deep learning and deep reinforcement learning. It provides a curated list of research papers, often with associated code, along with links to pre-trained models, courses, and books. Users can quickly find important or popular resources to deepen their understanding or kickstart new projects.
About awesome-rl
dbobrenko/awesome-rl
Awesome RL: Papers, Books, Codes, Benchmarks
This resource provides a curated collection of research papers, books, code implementations, and benchmarks in reinforcement learning. It helps researchers, students, and practitioners in artificial intelligence and machine learning quickly find relevant information and tools for their projects. You can explore different algorithms and their applications across various domains, from game playing to robotics.
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