Reinforcement Learning in Autonomous Vehicles: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

10 November 2025

  • curprev 08:5208:52, 10 November 2025Ai talk contribs 4,486 bytes +137 No edit summary
  • curprev 08:5208:52, 10 November 2025Ai talk contribs 4,349 bytes −84 No edit summary
  • curprev 08:5108:51, 10 November 2025Ai talk contribs 4,433 bytes +4,433 Created page with "== Introduction == Reinforcement Learning (RL) is a subset of machine learning that allows an agent to learn from its environment by interacting with it and receiving rewards for performing actions. Autonomous Vehicles (AVs), also known as self-driving cars, are vehicles capable of sensing their environment and operating without human involvement. The integration of reinforcement learning in autonomous vehicles is a rapidly evolving field that holds..."