In autonomous navigation, a planning system reasons about other agents t...
We introduce online learning algorithms which are independent of feature...
Recent work has demonstrated that problems-- particularly imitation lear...
Partially Observable Markov Decision Processes (POMDPs) provide a rich
f...
Many prediction domains, such as ad placement, recommendation, trajector...
Autonomous navigation for large Unmanned Aerial Vehicles (UAVs) is fairl...
Model-based Bayesian reinforcement learning has generated significant
in...
A fundamental problem in control is to learn a model of a system from
ob...
Stability is a general notion that quantifies the sensitivity of a learn...
Sequential prediction problems such as imitation learning, where future
...