research
∙
06/05/2023
Learning Embeddings for Sequential Tasks Using Population of Agents
We present an information-theoretic framework to learn fixed-dimensional...
share
research
∙
02/24/2023
Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs
Responsibility attribution is a key concept of accountable multi-agent d...
research
∙
04/01/2022
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes
Actual causality and a closely related concept of responsibility attribu...
research
∙
01/06/2022
Admissible Policy Teaching through Reward Design
We study reward design strategies for incentivizing a reinforcement lear...
research
∙
07/26/2021
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
Blame attribution is one of the key aspects of accountable decision maki...
research
∙
07/15/2021
Reinforcement Learning for Education: Opportunities and Challenges
This survey article has grown out of the RL4ED workshop organized by the...
research
∙
06/09/2021
Bayesian Persuasion in Sequential Decision-Making
We study a dynamic model of Bayesian persuasion in sequential decision-m...
research
∙
02/10/2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning
We study defense strategies against reward poisoning attacks in reinforc...
research
∙
11/21/2020
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks
We study a security threat to reinforcement learning where an attacker p...
research
∙
05/19/2020
Diversity in News Recommendations
News diversity in the media has for a long time been a foundational and ...
research
∙
03/28/2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
We study a security threat to reinforcement learning where an attacker p...
research
∙
01/23/2019
Learning to Collaborate in Markov Decision Processes
We consider a two-agent MDP framework where agents repeatedly solve a ta...
research
∙
11/08/2018
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness
What is the best way to define algorithmic fairness? There has been much...
research
∙
11/17/2017
Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints
We study a problem of optimal information gathering from multiple data p...
research
∙
11/17/2017
Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge
We study minimal single-task peer prediction mechanisms that have limite...
research
∙
05/31/2017
