2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.RO2024
Hierarchical Learned Risk-Aware Planning Framework for Human Driving Modeling
Nathan Ludlow, Yiwei Lyu, John Dolan
This paper presents a novel approach to modeling human driving behavior, designed for use in evaluating autonomous vehicle control systems in a simulation environments. Our methodo…
cs.RO2024
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving
Adam Villaflor, Brian Yang, Huangyuan Su +3
Significant progress has been made in training multimodal trajectory forecasting models for autonomous driving. However, effectively integrating these models with downstream planne…
cs.LG2023★ 2 cited
Reasoning with Latent Diffusion in Offline Reinforcement Learning
Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella +3
Offline reinforcement learning (RL) holds promise as a means to learn high-reward policies from a static dataset, without the need for further environment interactions. However, a…