Postdoctoral Research Associate, Adaptive Learning Agents and Computational Cognitive Science

Design, implement, and train new reinforcement learning agents for game-based environments in which task structure and controllability change. Relevant approaches include meta-reinforcement learning, continual learning, model-based reinforcement learning and world models, and transformer-based sequence models for decision-making. Treat trained agents as scientific models of behavior.