activity
20212026
most citedOn Blame Attribution for Accountable Multi-Agent Sequential Decision Making

2 citations · 3 across the 8 of their papers we have counts for

collaborators

8 papers

cs.MA2026

Responsibility in Multi-Agent Sequential Decision-Making: Comparing Human Judgments to Formal Models of Causal Attribution

Nripsuta Ani Saxena, Stelios Triantafyllou, Goran Radanović

With the growing adoption of artificial intelligence in high-stakes decision-making, identifying the causes of outcomes--particularly failures--and determining who is responsible h…

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.LG2024

Performative Reinforcement Learning in Gradually Shifting Environments

Ben Rank, Stelios Triantafyllou, Debmalya Mandal +1

When Reinforcement Learning (RL) agents are deployed in practice, they might impact their environment and change its dynamics. We propose a new framework to model this phenomenon,…

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.AI2023★ 1 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.LG2022

Performative Reinforcement Learning

Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic

We introduce the framework of performative reinforcement learning where the policy chosen by the learner affects the underlying reward and transition dynamics of the environment. F…

cs.AI2022

Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes

Stelios Triantafyllou, Adish Singla, Goran Radanovic

Actual causality and a closely related concept of responsibility attribution are central to accountable decision making. Actual causality focuses on specific outcomes and aims to i…

cs.AI2021★ 2 cited

On Blame Attribution for Accountable Multi-Agent Sequential Decision Making

Stelios Triantafyllou, Adish Singla, Goran Radanovic

Blame attribution is one of the key aspects of accountable decision making, as it provides means to quantify the responsibility of an agent for a decision making outcome. In this p…