233 citations · 319 across the 9 of their papers we have counts for
4 papers · 1 filter
Manifold Regularization for Kernelized LSTD
Xinyan Yan, Krzysztof Choromanski, Byron Boots +1
Policy evaluation or value function or Q-function approximation is a key procedure in reinforcement learning (RL). It is a necessary component of policy iteration and can be used f…
Agile Autonomous Driving using End-to-End Deep Imitation Learning
Yunpeng Pan, Ching-An Cheng, Kamil Saigol +4
We present an end-to-end imitation learning system for agile, off-road autonomous driving using only low-cost sensors. By imitating a model predictive controller equipped with adva…
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference
Mustafa Mukadam, Jing Dong, Xinyan Yan +2
We introduce a novel formulation of motion planning, for continuous-time trajectories, as probabilistic inference. We first show how smooth continuous-time trajectories can be repr…
Approximately Optimal Continuous-Time Motion Planning and Control via Probabilistic Inference
Mustafa Mukadam, Ching-An Cheng, Xinyan Yan +1
The problem of optimal motion planing and control is fundamental in robotics. However, this problem is intractable for continuous-time stochastic systems in general and the solutio…