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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...
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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...
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Explainable robotic systems: Interpreting outcome-focused actions in a reinforcement learning scenario
Robotic systems are more present in our society every day. In human-robo...
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Discrete-to-Deep Supervised Policy Learning
Neural networks are effective function approximators, but hard to train ...
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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...
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A Survey of Multi-Objective Sequential Decision-Making
Sequential decision-making problems with multiple objectives arise natur...
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Peter Vamplew
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