activity
20092026
most citedGame-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration

77 citations · 367 across the 40 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.GT2017★ 24 cited

A partisan districting protocol with provably nonpartisan outcomes

Wesley Pegden, Ariel D. Procaccia, Dingli Yu

We design and analyze a protocol for dividing a state into districts, where parties take turns proposing a division, and freezing a district from the other party's proposed divisio…

cs.RO2017

The Provable Virtue of Laziness in Motion Planning

Nika Haghtalab, Simon Mackenzie, Ariel D. Procaccia +2

The Lazy Shortest Path (LazySP) class consists of motion-planning algorithms that only evaluate edges along shortest paths between the source and target. These algorithms were desi…

cs.AI2017★ 18 cited

A Voting-Based System for Ethical Decision Making

Ritesh Noothigattu, Snehalkumar 'Neil' S. Gaikwad, Edmond Awad +4

We present a general approach to automating ethical decisions, drawing on machine learning and computational social choice. In a nutshell, we propose to learn a model of societal p…

cs.AI2017

Why You Should Charge Your Friends for Borrowing Your Stuff

Kijung Shin, Euiwoong Lee, Dhivya Eswaran +1

We consider goods that can be shared with k-hop neighbors (i.e., the set of nodes within k hops from an owner) on a social network. We examine incentives to buy such a good by devi…

cs.GT2017

Weighted Voting Via No-Regret Learning

Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia

Voting systems typically treat all voters equally. We argue that perhaps they should not: Voters who have supported good choices in the past should be given higher weight than vote…

cs.RO2017★ 77 cited

Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration

Stefanos Nikolaidis, Swaprava Nath, Ariel D. Procaccia +1

In human-robot teams, humans often start with an inaccurate model of the robot capabilities. As they interact with the robot, they infer the robot's capabilities and partially adap…