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Persistent Rule-based Interactive Reinforcement Learning
Interactive reinforcement learning has allowed speeding up the learning ...
02/04/2021 ∙ by Adam Bignold, et al. ∙
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Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning
Reinforcement learning is an approach used by intelligent agents to auto...
09/21/2020 ∙ by Adam Bignold, et al. ∙
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A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review
A long-term goal of reinforcement learning agents is to be able to perfo...
07/03/2020 ∙ by Adam Bignold, et al. ∙
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Discrete-to-Deep Supervised Policy Learning
Neural networks are effective function approximators, but hard to train ...
05/05/2020 ∙ by Budi Kurniawan, et al. ∙
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A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions
We report a previously unidentified issue with model-free, value-based a...
04/14/2020 ∙ by Peter Vamplew, et al. ∙
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