research
∙
11/03/2021
Autonomous Attack Mitigation for Industrial Control Systems
Defending computer networks from cyber attack requires timely responses ...
share
research
∙
09/16/2021
Interpretable Local Tree Surrogate Policies
High-dimensional policies, such as those represented by neural networks,...
research
∙
06/09/2021
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration
Defending computer networks from cyber attack requires coordinating acti...
research
∙
06/08/2021
Measurable Monte Carlo Search Error Bounds
Monte Carlo planners can often return sub-optimal actions, even if they ...
research
∙
12/03/2020
Obstacle Avoidance Using a Monocular Camera
A collision avoidance system based on simple digital cameras would help ...
research
∙
10/07/2020
Improved POMDP Tree Search Planning with Prioritized Action Branching
Online solvers for partially observable Markov decision processes have d...
research
∙
10/07/2020
Bayesian Optimized Monte Carlo Planning
Online solvers for partially observable Markov decision processes have d...
research
∙
06/17/2020
Towards Recurrent Autoregressive Flow Models
Stochastic processes generated by non-stationary distributions are diffi...
research
∙
03/19/2020
Exchangeable Input Representations for Reinforcement Learning
Poor sample efficiency is a major limitation of deep reinforcement learn...
research
∙
05/07/2019
Object Exchangeability in Reinforcement Learning: Extended Abstract
Although deep reinforcement learning has advanced significantly over the...
research
∙
12/10/2018
Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks
A reliable sense-and-avoid system is critical to enabling safe autonomou...
research
∙
02/20/2018