2 papers
cs.LG2026
Reflective Prompted Policy Optimization: Trajectory-Grounded Revision and Salience Bias
Rahaf Abu Hara, Vaibbhav Murarri, Claudio Zito
Existing LLM-based policy optimizers see only scalar rewards: that a policy scored 0.45, but not whether the agent got stuck in a loop, fell into a hole on the third step, or perfo…
cs.RO2026
LiZIP: An Auto-Regressive Compression Framework for LiDAR Point Clouds
Aditya Shibu, Kayvan Karim, Claudio Zito
The massive volume of data generated by LiDAR sensors in autonomous vehicles creates a bottleneck for real-time processing and vehicle-to-everything (V2X) transmission. Existing lo…