Rajneesh Anand

Sample-Efficient Model-Based Reinforcement Learning for Autonomous Droplet Navigation via Controller Initialization

Model-based reinforcement learning (MBRL) is well suited to controlling physical systems that resist analytical modeling, but its reliance on real-world interaction makes data collection the dominant cost. This paper quantifies the effect of initialization choice on this cost, on a newly adapted robotic platform that g...