9 citations · 14 across the 4 of their papers we have counts for
4 papers
Gradient Temporal-Difference Learning with Regularized Corrections
Sina Ghiassian, Andrew Patterson, Shivam Garg +3
It is still common to use Q-learning and temporal difference (TD) learning-even though they have divergence issues and sound Gradient TD alternatives exist-because divergence seems…
-: Adaptive Control with Bayesian Learning
Aditya Gahlawat, Pan Zhao, Andrew Patterson +2
We present -, an architecture based on adaptive control and Gaussian Process Regression (GPR) for safe simultaneous control and learnin…
Learning Probabilistic Intersection Traffic Models for Trajectory Prediction
Andrew Patterson, Aditya Gahlawat, Naira Hovakimyan
Autonomous agents must be able to safely interact with other vehicles to integrate into urban environments. The safety of these agents is dependent on their ability to predict coll…
Proximity Queries for Absolutely Continuous Parametric Curves
Arun Lakshmanan, Andrew Patterson, Venanzio Cichella +1
In motion planning problems for autonomous robots, such as self-driving cars, the robot must ensure that its planned path is not in close proximity to obstacles in the environment.…