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06/09/2023
Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments
The design of autonomous agents that can interact effectively with other...
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05/14/2023
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees
The Partially Observable Markov Decision Process (POMDP) provides a prin...
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02/21/2023
Adaptive Discretization using Voronoi Trees for Continuous POMDPs
Solving continuous Partially Observable Markov Decision Processes (POMDP...
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09/13/2022
Adaptive Discretization using Voronoi Trees for Continuous-Action POMDPs
Solving Partially Observable Markov Decision Processes (POMDPs) with con...
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07/15/2021
Partially Observable Markov Decision Processes (POMDPs) and Robotics
Planning under uncertainty is critical to robotics. The Partially Observ...
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04/02/2021
An NCAP-like Safety Indicator for Self-Driving Cars
This paper proposes a mechanism to assess the safety of autonomous cars....
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11/04/2020
An On-Line POMDP Solver for Continuous Observation Spaces
Planning under partial obervability is essential for autonomous robots. ...
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05/29/2020
Non-Linearity Measure for POMDP-based Motion Planning
Motion planning under uncertainty is essential for reliable robot operat...
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07/23/2019
Multilevel Monte-Carlo for Solving POMDPs Online
Planning under partial obervability is essential for autonomous robots. ...
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07/09/2019
Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics
We propose a neural network architecture, called TransNet, that combines...
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05/15/2019
Autonomous Penetration Testing using Reinforcement Learning
Penetration testing (pentesting) involves performing a controlled attack...
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11/27/2015
