Reinforcement learning holds the promise of enabling autonomous robots to learn large repertoires of behavioral skills with minimal human intervention. However, robotic applications of reinforcement ...

In its most ambitious move yet, CARV is unveiling a new AI roadmap designed to shift Web3-AI convergence from passive ...

The target enclosing control problem for autonomous vehicles with uncertainties necessitates simultaneous consideration of control optimality, robustness, and safety-guided performance constraints.