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Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study.

D. Brenneis, A. Parker, M. Johanson, A. Butcher, E. Davoodi, L. Acker, M. Botvinick, J. Modayil, A. White, and P. Pilarski. CoRR, (2021)

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Monika Pilarski

Joachim Pilarski

Patrick M Zwimpfer

Patrick M Pintaske

Patrick M Hoch

Other publications of authors with the same name

Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI.K. Kudashkina, P. Pilarski, and R. Sutton. CoRR, (2020)Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm.J. Günther, A. Kearney, N. Ady, M. Dawson, and P. Pilarski. AAMAS, page 1967-1969. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures.J. Günther, N. Ady, A. Kearney, M. Dawson, and P. Pilarski. Frontiers Robotics AI, (2020)The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents.P. Pilarski, A. Butcher, E. Davoodi, M. Johanson, D. Brenneis, A. Parker, L. Acker, M. Botvinick, J. Modayil, and A. White. CoRR, (2022)Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making.A. Kearney, A. Koop, J. Günther, and P. Pilarski. CoRR, (2021)Over-communicate no more: Situated RL agents learn concise communication protocols.A. Kalinowska, E. Davoodi, F. Strub, K. Mathewson, I. Kajic, M. Bowling, T. Murphey, and P. Pilarski. CoRR, (2022)A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning.K. Mathewson, and P. Pilarski. CoRR, (2022)Embodied Cooperation to Promote Forgiving Interactions With Autonomous Machines.J. Schofield, M. Battraw, A. Parker, P. Pilarski, J. Sensinger, and P. Marasco. Frontiers Neurorobotics, (2021)Machine-learned Adaptive Switching in Voluntary Lower-limb Exoskeleton Control: Preliminary Results.P. Faridi, J. Khodaei-Mehr, D. Wilson, M. Sharifi, M. Tavakoli, P. Pilarski, and V. Mushahwar. ICORR, page 1-6. IEEE, (2022)Reinforcement Learning Based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception.K. Mathewson, and P. Pilarski. AAAI Spring Symposia, AAAI Press, (2017)

BibSonomy

Disambiguation of "Pilarski, Patrick M."

Please choose a person to relate this publication to

Monika Pilarski

Joachim Pilarski

Patrick M Zwimpfer

Patrick M Pintaske

Patrick M Hoch

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pilarski, Patrick M."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study.

Please choose a person to relate this publication to

Monika Pilarski

Joachim Pilarski

Patrick M Zwimpfer

Patrick M Pintaske

Patrick M Hoch

Other publications of authors with the same name

Disambiguation