research
∙
08/23/2023
SafeAR: Towards Safer Algorithmic Recourse by Risk-Aware Policies
With the growing use of machine learning (ML) models in critical domains...
share
research
∙
02/28/2023
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments
Learning to detect, characterize and accommodate novelties is a challeng...
research
∙
02/10/2023
Refined F_5 Algorithms for Ideals of Minors of Square Matrices
We consider the problem of computing a grevlex Gröbner basis for the set...
research
∙
11/11/2022
pyRDDLGym: From RDDL to Gym Environments
We present pyRDDLGym, a Python framework for auto-generation of OpenAI G...
research
∙
09/15/2021
Synthesizing Policies That Account For Human Execution Errors Caused By State-Aliasing In Markov Decision Processes
When humans are given a policy to execute, there can be policy execution...
research
∙
07/09/2021
Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver
The game of monopoly is an adversarial multi-agent domain where there is...
research
∙
11/03/2020
Goal recognition via model-based and model-free techniques
Goal recognition aims at predicting human intentions from a trace of obs...
research
∙
10/28/2020
Model Minimization For Online Predictability
For humans in a teaming scenario, context switching between reasoning ab...
research
∙
06/04/2020
Embedding Directed Graphs in Potential Fields Using FastMap-D
Embedding undirected graphs in a Euclidean space has many computational ...
research
∙
02/15/2020
Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences
Learning the preferences of a human improves the quality of the interact...
research
∙
11/24/2018
TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains
Existing work for plan trace visualization in automated planning uses pi...
research
∙
12/05/2017