5 citations · 8 across the 5 of their papers we have counts for
5 papers
Neural Value Iteration
Yang You, Ufuk Çakır, Alex Schutz +1
The value function of a POMDP exhibits the piecewise-linear-convex (PWLC) property and can be represented as a finite set of hyperplanes, known as -vectors. Most state-of-the-ar…
Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics
Yang You, Alex Schutz, Zhikun Li +3
Many high-level multi-agent planning problems, including multi-robot navigation and path planning, can be effectively modeled using deterministic actions and observations. In this…
Partially Observable Monte-Carlo Graph Search
Yang You, Vincent Thomas, Alex Schutz +3
Currently, large partially observable Markov decision processes (POMDPs) are often solved by sampling-based online methods which interleave planning and execution phases. However,…
AutoInspect: Towards Long-Term Autonomous Industrial Inspection
Michal Staniaszek, Tobit Flatscher, Joseph Rowell +6
We give an overview of AutoInspect, a ROS-based software system for robust and extensible mission-level autonomy. Over the past three years AutoInspect has been deployed in a varie…
Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-place
Wenxing Liu, Hanlin Niu, Robert Skilton +1
When transferring a Deep Reinforcement Learning model from simulation to the real world, the performance could be unsatisfactory since the simulation cannot imitate the real world…