The motion control of humanoid robots is becoming the next hot research area for the application of reinforcement learning ...

This issue has now been addressed. Li Hang's newly launched book 'Machine Learning Methods (2nd Edition)' dedicates a chapter ...

OpenAI previously developed reinforcement learning algorithms that learned to play the fast-paced multiplayer Dota 2 video game with minimal training. Other such algorithms have learned to control ...

Reinforcement learning, a subfield of ML, enables intelligent agents to learn optimal behaviour by rewarding and punishing.

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonogloux, Matthew Lai, Arthur Guez, Marc ...