As artificial intelligence (AI) algorithms are increasingly used in
miss...
This paper introduces a sampling-based strategy synthesis algorithm for
...
This paper presents a new multi-layered algorithm for motion planning un...
Partially observable Markov decision processes (POMDPs) provide a flexib...
This paper presents an algorithmic framework for control synthesis of
co...
In this paper, we address the problem of sampling-based motion planning ...
The Partially Observable Markov Decision Process (POMDP) is a powerful
f...
Markov decision processes (MDPs) and partially observable MDPs (POMDPs) ...
This paper proposes a framework for 3D obstacle avoidance in the presenc...
In many problems that involve multiple decision making agents, optimal
c...
In many settings where multiple agents interact, the optimal choices for...
Partially observable Markov decision processes (POMDPs) with continuous ...