Abstract
The overview covers key aspects of deep reinforcement learning and sequential decision making, including value-based RL, policy-gradient methods, and model-based methods.
AI-generated summary
This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based RL, policy-gradient methods, model-based methods, and various other topics (including a very brief discussion of RL+LLMs).
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