Project Grant 2332475

The University of Chicago received a $299,999 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The grant supports collaborative research to enhance the performance of reinforcement learning (RL) systems in complex environments by developing active task and environment design approaches. The project aims to fundamentally reshape the RL landscape through four interconnected thrusts: active environment design for RL, active task design for RL, active joint task and environment design, and evaluation across various machine learning applications. The award period is from August 15, 2024, to July 31, 2027. No sub-awards are planned for this grant.