Joelle Pineau: General info PhD in Robotics (2004), CMU. At McGill since 2004 in the School of Computer Science. Co-director of the Reasoning and Learning Lab. Supervising 2 post-docs, 4 PhDs, 2 MScs. Contact: jpineau@cs.mcgill.ca
Overview and objectives Main scientific goal: Synthesis and analysis of intelligent decision-making systems. Main tools: Probability theory, statistics, machine learning, optimization, analysis of algorithms, numerical approximations, … Abilities Goals/Preferences Prior Knowledge Robot Observations Actions Environment
Reinforcement learning paradigm Choose actions such as maximize the sum of rewards, Challenging cases: state space is large/continuous, states are partially observed, state representation is not given, action space is continuous, dynamics and effects of actions are poorly modeled, rewards are not known in advance, …
SmartWheeler project Autonomous navigation in large natural environments under sensor uncertainty. Robust human-robot interaction and dialogue management. Learning patterns of user behaviors.
Adaptive deep-brain stimulation Goal: To create an adaptive neuro-stimulation system that can maximally reduce the incidence of epileptiform activity.