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06/01/2023
The Benefits of Interaction Constraints in Distributed Autonomous Systems
The design of distributed autonomous systems often omits consideration o...
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05/26/2023
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback
We propose a method to capture the handling abilities of fast jet pilots...
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02/10/2023
Two-step counterfactual generation for OOD examples
Two fundamental requirements for the deployment of machine learning mode...
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11/06/2022
Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection
A recent popular approach to out-of-distribution (OOD) detection is base...
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10/03/2022
Reward Learning with Trees: Methods and Evaluation
Recent efforts to learn reward functions from human feedback have tended...
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01/17/2022
Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction
We introduce a data-driven, model-agnostic technique for generating a hu...
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06/01/2021
The Impact of Network Connectivity on Collective Learning
In decentralised autonomous systems it is the interactions between indiv...
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09/10/2020
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments
In explainable artificial intelligence, there is increasing interest in ...
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06/19/2020
Modelling Agent Policies with Interpretable Imitation Learning
As we deploy autonomous agents in safety-critical domains, it becomes im...
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01/20/2020
Distributed Possibilistic Learning in Multi-Agent Systems
Possibility theory is proposed as an uncertainty representation framewor...
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05/13/2019
Evidence Propagation and Consensus Formation in Noisy Environments
We study the effectiveness of consensus formation in multi-agent systems...
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12/11/2016
A Model of Multi-Agent Consensus for Vague and Uncertain Beliefs
Consensus formation is investigated for multi-agent systems in which age...
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07/19/2016
Exploiting Vagueness for Multi-Agent Consensus
A framework for consensus modelling is introduced using Kleene's three v...
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01/25/2016
Emerging Dimension Weights in a Conceptual Spaces Model of Concept Combination
We investigate the generation of new concepts from combinations of prope...
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01/25/2016
The Utility of Hedged Assertions in the Emergence of Shared Categorical Labels
We investigate the emergence of shared concepts in a community of langua...
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01/25/2016
A Label Semantics Approach to Linguistic Hedges
We introduce a model for the linguistic hedges `very' and `quite' within...
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01/25/2016