3 papers
cs.RO2025
XPG-RL: Reinforcement Learning with Explainable Priority Guidance for Efficiency-Boosted Mechanical Search
Yiting Zhang, Shichen Li, Elena Shrestha
Mechanical search (MS) in cluttered environments remains a significant challenge for autonomous manipulators, requiring long-horizon planning and robust state estimation under occl…
cs.RO2023
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing
Elena Shrestha, Chetan Reddy, Hanxi Wan +2
Model-based reinforcement learning (MBRL) techniques have recently yielded promising results for real-world autonomous racing using high-dimensional observations. MBRL agents, such…
cs.CV2021
Achieving Competitive Play Through Bottom-Up Approach in Semantic Segmentation
E. Pryzant, Q. Deng, B. Mei +1
With the renaissance of neural networks, object detection has slowly shifted from a bottom-up recognition problem to a top-down approach. Best in class algorithms enumerate a near-…