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Acquiring a Broad Range of Empirical Knowledge in Real Time by Temporal-Difference Learning
Joseph Modayil, Adam White, Patrick M Pilarski, Richard S Sutton
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Apprentissage par Renforcement sans Modèle et avec Action Continue
Thomas Degris, Patrick M Pilarski, Richard S Sutton
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Between Instruction and Reward: Human-Prompted Switching
Patrick M Pilarski, Richard S Sutton
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Dynamic switching and real-time machine learning for improved human control of assistive biomedical robots
Patrick M Pilarski, Michael R Dawson, Thomas Degris, Jason P Carey, Richard S Sutton
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Model-Free Reinforcement Learning with Continuous Action in Practice
Thomas Degris, Patrick M Pilarski, Richard S Sutton
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Pushrim kinetics and coordination patterns of shoulder muscles during surface and incline wheelchair propulsion
Liping Qi, Martin Ferguson-Pell, Simon Grange, Patrick Pilarski
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Tuning-free step-size adaptation
Ashique Rupam Mahmood, Richard S Sutton, Thomas Degris, Patrick M Pilarski
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Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction
Richard S Sutton, Joseph Modayil, Michael Delp, Thomas Degris, Patrick M Pilarski, Adam White, Doina Precup
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Online human training of a myoelectric prosthesis controller via actor-critic reinforcement learning
Patrick M Pilarski, Michael R Dawson, Thomas Degris, Farbod Fahimi, Jason P Carey, Richard S Sutton
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Off-Policy Knowledge Maintenance for Robots
Joseph Modayil, Patrick M Pilarski, Adam White, Thomas Degris, Richard S Sutton
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