ugurkanates/awesome-real-world-rl
A curated list of resources for applying Reinforcement Learning to real-world scenarios, covering simulation-to-real transfer, robotics, imitation learning, and meta-learning.
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This repository compiles resources to help practitioners make RL work in practical situations. It organizes academic papers, books, conference talks, datasets, and projects across topics including sim-to-real transfer with GANs, imitation learning, meta-reinforcement learning, multi-agent systems, and offline RL. The list also includes prominent researchers and companies to follow in the field.