# Reinforcement Learning in Robotics

{
  "id": "T10462",
  "title": "Reinforcement Learning in Robotics",
  "url": "/topics/T10462",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "efe0acbf00a56b1f",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "36174210792066259",
  "address_version": "morton4x16-v1",
  "coordinates": [
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  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

This cluster of papers encompasses a wide range of advancements in reinforcement learning algorithms and their applications, including deep learning, neural networks, robotics, autonomous control, policy gradient methods, multi-agent systems, model-based learning, curiosity-driven exploration, and simulation to real-world transfer.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T10462

No owner-reviewed local answer yet.