activity
20172026
most citedCalibrated Fairness in Bandits

44 citations · 88 across the 21 of their papers we have counts for

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5 papers · 1 filter

cs.AI2024

Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making

Stelios Triantafyllou, Aleksa Sukovic, Yasaman Zolfimoselo +1

We address the challenge of explaining counterfactual outcomes in multi-agent Markov decision processes. In particular, we aim to explain the total counterfactual effect of an agen…

cs.AI2023

Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs

Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal +1

Establishing causal relationships between actions and outcomes is fundamental for accountable multi-agent decision-making. However, interpreting and quantifying agents' contributio…

cs.AI20231 cited

Markov Decision Processes with Time-Varying Geometric Discounting

Jiarui Gan, Annika Hennes, Rupak Majumdar +2

Canonical models of Markov decision processes (MDPs) usually consider geometric discounting based on a constant discount factor. While this standard modeling approach has led to ma…

cs.AI20231 cited

Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs

Stelios Triantafyllou, Goran Radanovic

Responsibility attribution is a key concept of accountable multi-agent decision making. Given a sequence of actions, responsibility attribution mechanisms quantify the impact of ea…

cs.AI2018

How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness

Nripsuta Saxena, Karen Huang, Evan DeFilippis +3

What is the best way to define algorithmic fairness? While many definitions of fairness have been proposed in the computer science literature, there is no clear agreement over a pa…