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06/01/2023
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
Two main challenges in Reinforcement Learning (RL) are designing appropr...
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12/24/2022
Multi-Agent Goal Assignment with Finite-Time Path Planning
Minimising the longest travel distance for a group of mobile robots with...
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07/21/2022
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning
Optimizing noisy functions online, when evaluating the objective require...
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03/14/2022
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
We consider model-based multi-agent reinforcement learning, where the en...
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02/22/2022
On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games
We derive the rate of convergence to Nash equilibria for the payoff-base...
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12/27/2021
Distributionally Robust Bootstrap Optimization
Control architectures and autonomy stacks for complex engineering system...
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08/05/2021
Safe Motion Planning against Multimodal Distributions based on a Scenario Approach
We present the design of a motion planning algorithm that ensures safety...
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07/13/2021
Contextual Games: Multi-Agent Learning with Side Information
We formulate the novel class of contextual games, a type of repeated gam...
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03/02/2021
Multi-robot task allocation for safe planning under dynamic uncertainties
This paper considers the problem of multi-robot safe mission planning in...
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02/17/2021
A market-based approach for enabling inter-area reserve exchange
Considering the sequential clearing of energy and reserves in Europe, en...
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07/10/2020
Learning to Play Sequential Games versus Unknown Opponents
We consider a repeated sequential game between a learner, who plays firs...
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03/05/2020
Safe Mission Planning under Dynamical Uncertainties
This paper considers safe robot mission planning in uncertain dynamical ...
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02/28/2020
Mixed Strategies for Robust Optimization of Unknown Objectives
We consider robust optimization problems, where the goal is to optimize ...
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12/20/2019
No-Regret Learning from Partially Observed Data in Repeated Auctions
We study a general class of repeated auctions, such as the ones found in...
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12/19/2019
Log Barriers for Safe Non-convex Black-box Optimization
We address the problem of minimizing a smooth function f^0(x) over a com...
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12/19/2019
Safe non-smooth black-box optimization with application to policy search
For safety-critical black-box optimization tasks, observations of the co...
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09/18/2019
No-Regret Learning in Unknown Games with Correlated Payoffs
We consider the problem of learning to play a repeated multi-agent game ...
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04/03/2019
Learning Nash Equilibria in Monotone Games
We consider multi-agent decision making where each agent's cost function...
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03/03/2019
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature
Games with continuous strategy sets arise in several machine learning pr...
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11/23/2018
Core-Selecting Mechanisms in Electricity Markets
Due to its theoretical virtues, several recent works propose the use of ...
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06/13/2018
Minimizing Regret in Bandit Online Optimization in Unconstrained and Constrained Action Spaces
We consider online convex optimization with zeroth-order feedback settin...
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03/29/2018
Exploiting Weak Supermodularity for Coalition-Proof Mechanisms
Under the incentive-compatible Vickrey-Clarke-Groves mechanism, coalitio...
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11/17/2017
Designing Coalition-Proof Reverse Auctions over Continuous Goods
This paper investigates reverse auctions that involve continuous values ...
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11/17/2017