Search Results for author: Sarvapali D. Ramchurn

Found 14 papers, 2 papers with code

Structured Pruning for Efficient Visual Place Recognition

no code implementations12 Sep 2024 Oliver Grainge, Michael Milford, Indu Bodala, Sarvapali D. Ramchurn, Shoaib Ehsan

Visual Place Recognition (VPR) is fundamental for the global re-localization of robots and devices, enabling them to recognize previously visited locations based on visual inputs.

Visual Place Recognition

Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design

no code implementations4 Feb 2022 Mohammad Naiseh, Caitlin Bentley, Sarvapali D. Ramchurn

Recent advances in artificial intelligence, specifically machine learning, contributed positively to enhancing the autonomous systems industry, along with introducing social, technical, legal and ethical challenges to make them trustworthy.

Large-scale, Dynamic and Distributed Coalition Formation with Spatial and Temporal Constraints

no code implementations1 Jun 2021 Luca Capezzuto, Danesh Tarapore, Sarvapali D. Ramchurn

The Coalition Formation with Spatial and Temporal constraints Problem (CFSTP) is a multi-agent task allocation problem in which few agents have to perform many tasks, each with its deadline and workload.

Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football

no code implementations18 Feb 2021 Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn

In this paper, we present a novel approach for optimising long-term tactical and strategic decision-making in football (soccer) by encapsulating events in a league environment across a given time frame.

Decision Making

Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model

no code implementations8 Dec 2020 Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn

In this paper, we present a new application-focused benchmark dataset and results from a set of baseline Natural Language Processing and Machine Learning models for prediction of match outcomes for games of football (soccer).

BIG-bench Machine Learning

Anytime and Efficient Coalition Formation with Spatial and Temporal Constraints

no code implementations30 Mar 2020 Luca Capezzuto, Danesh Tarapore, Sarvapali D. Ramchurn

Since we cannot eliminate the limitations of CFLA in CFLA2, we also develop a novel algorithm to solve the CFSTP, the first to be anytime, efficient and with provable guarantees, called Cluster-based Coalition Formation (CCF).

Scheduling

Optimising Game Tactics for Football

no code implementations23 Mar 2020 Ryan Beal, Georgios Chalkiadakis, Timothy J. Norman, Sarvapali D. Ramchurn

In this paper we present a novel approach to optimise tactical and strategic decision making in football (soccer).

Decision Making Game of Football

Algorithms for Graph-Constrained Coalition Formation in the Real World

1 code implementation13 Dec 2016 Filippo Bistaffa, Alessandro Farinelli, Jesús Cerquides, Juan A. Rodríguez-Aguilar, Sarvapali D. Ramchurn

In this paper, we focus on a special case of coalition formation known as Graph-Constrained Coalition Formation (GCCF) whereby a network connecting the agents constrains the formation of coalitions.

Efficient Task Collaboration with Execution Uncertainty

no code implementations17 Sep 2015 Dengji Zhao, Sarvapali D. Ramchurn, Nicholas R. Jennings

We study a general task allocation problem, involving multiple agents that collaboratively accomplish tasks and where agents may fail to successfully complete the tasks assigned to them (known as execution uncertainty).

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