16 citations · 29 across the 3 of their papers we have counts for
3 papers
cs.RO2025
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions
Albert Zhao, Stefano Soatto
We describe a robust planning method for autonomous driving that mixes normal and adversarial agent predictions output by a diffusion model trained for motion prediction. We first…
cs.CV2019★ 13 cited
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning
Albert Zhao, Tong He, Yitao Liang +3
We describe a policy learning approach to map visual inputs to driving controls conditioned on turning command that leverages side tasks on semantics and object affordances via a l…
cs.LG2018★ 16 cited
Learning to Search via Retrospective Imitation
Jialin Song, Ravi Lanka, Albert Zhao +3
We study the problem of learning a good search policy for combinatorial search spaces. We propose retrospective imitation learning, which, after initial training by an expert, impr…