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01/12/2023
An Approach to Stochastic Dynamic Games with Asymmetric Information and Hidden Actions
We consider in discrete time, a general class of sequential stochastic d...
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01/07/2023
On vectorial functions with maximal number of bent components
We study vectorial functions with maximal number of bent components in t...
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08/15/2022
Grasping Core Rules of Time Series through Pure Models
Time series underwent the transition from statistics to deep learning, a...
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08/19/2021
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems
We revisit the Thompson sampling algorithm to control an unknown linear ...
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08/18/2021
Scalable regret for learning to control network-coupled subsystems with unknown dynamics
We consider the problem of controlling an unknown linear quadratic Gauss...
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02/18/2021
Causal Inference Q-Network: Toward Resilient Reinforcement Learning
Deep reinforcement learning (DRL) has demonstrated impressive performanc...
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11/24/2020
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation
Automated Vehicles require exhaustive testing in simulation to detect as...
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11/09/2020
Thompson sampling for linear quadratic mean-field teams
We consider optimal control of an unknown multi-agent linear quadratic (...
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02/20/2020
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning
Recent deep neural networks based techniques, especially those equipped ...
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01/27/2020
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
Regret analysis is challenging in Multi-Agent Reinforcement Learning (MA...
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12/09/2019
Learning Latent State Spaces for Planning through Reward Prediction
Model-based reinforcement learning methods typically learn models for hi...
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10/17/2019
Online Learning in Planar Pushing with Combined Prediction Model
Pushing is a useful robotic capability for positioning and reorienting o...
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05/24/2019
Learning Cross-Domain Representation with Multi-Graph Neural Network
Learning effective embedding has been proved to be useful in many real-w...
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05/13/2019
Construction of three classes of Strictly Optimal Frequency-Hopping Sequence Sets
In this paper, we construct three classes of strictly optimal frequency-...
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12/03/2018
A Unified Approach to Dynamic Decision Problems with Asymmetric Information - Part II: Strategic Agents
We study a general class of dynamic games with asymmetric information wh...
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12/03/2018
A Unified Approach to Dynamic Decision Problems with Asymmetric Information - Part I: Non-Strategic Agents
We study a general class of dynamic multi-agent decision problems with a...
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08/24/2018
Linear complexity of generalized cyclotomic sequences of period 2p^m
In this paper, we construct two generalized cyclotomic binary sequences ...
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02/15/2018
