77 citations · 219 across the 30 of their papers we have counts for
7 papers · 1 filter
Spatio-temporal Motion Planning for Autonomous Vehicles with Trapezoidal Prism Corridors and Bézier Curves
Srujan Deolasee, Qin Lin, Jialun Li +1
Safety-guaranteed motion planning is critical for self-driving cars to generate collision-free trajectories. A layered motion planning approach with decoupled path and speed planni…
Delay-aware Robust Control for Safe Autonomous Driving and Racing
Dvij Kalaria, Qin Lin, John M. Dolan
Delays endanger safety of autonomous systems operating in a rapidly changing environment, such as nondeterministic surrounding traffic participants in autonomous driving and high-s…
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
Adam Villaflor, Zhe Huang, Swapnil Pande +2
Impressive results in natural language processing (NLP) based on the Transformer neural network architecture have inspired researchers to explore viewing offline reinforcement lear…
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections
Shivesh Khaitan, John M. Dolan
Traversing intersections is a challenging problem for autonomous vehicles, especially when the intersections do not have traffic control. Recently deep reinforcement learning has r…
Responsibility-associated Multi-agent Collision Avoidance with Social Preferences
Yiwei Lyu, Wenhao Luo, John M. Dolan
This paper introduces a novel social preference-aware decentralized safe control framework to address the responsibility allocation problem in multi-agent collision avoidance. Cons…
BATS: Best Action Trajectory Stitching
Ian Char, Viraj Mehta, Adam Villaflor +2
The problem of offline reinforcement learning focuses on learning a good policy from a log of environment interactions. Past efforts for developing algorithms in this area have rev…