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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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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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05/30/2022
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning
We generalise the problem of reward modelling (RM) for reinforcement lea...
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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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12/20/2021
Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions
The potential of reinforcement learning (RL) to deliver aligned and perf...
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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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07/02/2020
Am I Building a White Box Agent or Interpreting a Black Box Agent?
The rule extraction literature contains the notion of a fidelity-accurac...
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06/19/2020