Justin Lidard

Artificial Intelligence (4) Core AI (4) Machine Learning (2) Reinforcement Learning (2) Methods (2) Deep Learning (1) Application Areas (1) Bayesian & Probabilistic (1) Models (1) Optimization & Theory (1)

reinforcement learning (2) policy gradient (1) uncertainty quantification (1) robot learning (1) continuous control (1) autonomous vehicle (1) diffusion policy (1) set-valued prediction (1) dynamic game (1) intent prediction (1) shared autonomy (1) reference policy (1) multi-agent system (1) game-theoretic planning (1) risk calibration (1) human-robot cooperation (1) action uncertainty (1) neural safety value function (1) human-centered safety filter (1) state–action control barrier function (1)