Reinforcement learning focuses on rewarding desired AI actions and punishing undesired ones. Common RL algorithms include State-action-reward-state-action, Q-learning, and Deep-Q networks. RL ...

Boston Dynamics Spot: This agile robot can navigate challenging terrain and perform tasks like opening doors and climbing stairs, thanks to advanced reinforcement learning algorithms.

By Jace Dela Cruz Updated: Jul 25 2023, 06:53 AM EDT ...

After millions of games, machine learning algorithms found creative solutions and unexpected new strategies that could transfer to the real world. The Quanta Newsletter ...

Top-down design of protein architectures with reinforcement learning. Science, 2023; 380 (6642): 266 DOI: 10.1126/science.adf6591 ...

This course is about reinforcement learning, covering the fundamental concepts of reinforcement learning framework and solution methods. The focus is on the underlying methodology as well as practical ...

State-of-the-art offline reinforcement learning algorithms were evaluated against one of the most widely used artificial pancreas control algorithms. This comparison was conducted across 30 virtual ...