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06/08/2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance
Many deep reinforcement learning algorithms rely on simple forms of expl...
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10/29/2020
How do Offline Measures for Exploration in Reinforcement Learning behave?
Sufficient exploration is paramount for the success of a reinforcement l...
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10/24/2020
Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search
Local policy search is performed by most Deep Reinforcement Learning (D-...
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05/06/2020
Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies
An important current challenge in Human-Robot Interaction (HRI) is to en...
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04/30/2020
How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learn
Taking inspiration from how the brain coordinates multiple learning syst...
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09/12/2018
