activity
20082024
most citedEfficient Optical flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone

180 citations · 1.5k across the 49 of their papers we have counts for

collaborators

57 papers

cs.AI2024★ 1 cited

Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem

Raphael Koster, Miruna Pîslar, Andrea Tacchetti +7

A canonical social dilemma arises when finite resources are allocated to a group of people, who can choose to either reciprocate with interest, or keep the proceeds for themselves.…

cs.CL2024★ 2 cited

Steering Language Models with Game-Theoretic Solvers

Ian Gemp, Roma Patel, Yoram Bachrach +6

Mathematical models of interactions among rational agents have long been studied in game theory. However these interactions are often over a small set of discrete game actions whic…

cs.LG2023★ 1 cited

TacticAI: an AI assistant for football tactics

Zhe Wang, Petar Veličković, Daniel Hennes +20

Identifying key patterns of tactics implemented by rival teams, and developing effective responses, lies at the heart of modern football. However, doing so algorithmically remains…

cs.LG2023★ 1 cited

Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization

Yunfan Zhao, Nikhil Behari, Edward Hughes +5

Restless multi-arm bandits (RMABs), a class of resource allocation problems with broad application in areas such as healthcare, online advertising, and anti-poaching, have recently…

cs.MA2023★ 1 cited

Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas

Udari Madhushani, Kevin R. McKee, John P. Agapiou +6

In social psychology, Social Value Orientation (SVO) describes an individual's propensity to allocate resources between themself and others. In reinforcement learning, SVO has been…

cs.LG2023★ 22 cited

Human-Timescale Adaptation in an Open-Ended Task Space

Adaptive Agent Team, Jakob Bauer, Kate Baumli +25

Foundation models have shown impressive adaptation and scalability in supervised and self-supervised learning problems, but so far these successes have not fully translated to rein…