4 citations · 6 across the 8 of their papers we have counts for
8 papers
SwiLTra-Bench: The Swiss Legal Translation Benchmark
Joel Niklaus, Jakob Merane, Luka Nenadic +16
In Switzerland legal translation is uniquely important due to the country's four official languages and requirements for multilingual legal documentation. However, this process tra…
Responsible Emergent Multi-Agent Behavior
Niko A. Grupen
Responsible AI has risen to the forefront of the AI research community. As neural network-based learning algorithms continue to permeate real-world applications, the field of Respo…
Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning
Niko A. Grupen, Michael Hanlon, Alexis Hao +2
Large-scale AI systems that combine search and learning have reached super-human levels of performance in game-playing, but have also been shown to fail in surprising ways. The bri…
Collective Obfuscation and Crowdsourcing
Benjamin Laufer, Niko A. Grupen
Crowdsourcing technologies rely on groups of people to input information that may be critical for decision-making. This work examines obfuscation in the context of reporting techno…
Multi-Agent Curricula and Emergent Implicit Signaling
Niko A. Grupen, Daniel D. Lee, Bart Selman
Emergent communication has made strides towards learning communication from scratch, but has focused primarily on protocols that resemble human language. In nature, multi-agent coo…
Cooperative Multi-Agent Fairness and Equivariant Policies
Niko A. Grupen, Bart Selman, Daniel D. Lee
We study fairness through the lens of cooperative multi-agent learning. Our work is motivated by empirical evidence that naive maximization of team reward yields unfair outcomes fo…
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
Carmel Rabinovitz, Niko Grupen, Aviv Tamar
Robotic tasks such as manipulation with visual inputs require image features that capture the physical properties of the scene, e.g., the position and configuration of objects. Rec…
Low-Bandwidth Communication Emerges Naturally in Multi-Agent Learning Systems
Niko A. Grupen, Daniel D. Lee, Bart Selman
In this work, we study emergent communication through the lens of cooperative multi-agent behavior in nature. Using insights from animal communication, we propose a spectrum from l…