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Riley Simmons-Edler
Riley Simmons-Edler
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Title
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Cited by
Year
Robust classification of protein variation using structural modelling and large-scale data integration
EH Baugh, R Simmons-Edler, CL Müller, RF Alford, N Volfovsky, AE Lash, ...
Nucleic acids research 44 (6), 2501-2513, 2016
712016
Q-learning for continuous actions with cross-entropy guided policies
R Simmons-Edler, B Eisner, E Mitchell, S Seung, D Lee
arXiv preprint arXiv:1903.10605, 2019
252019
Program synthesis through reinforcement learning guided tree search
R Simmons-Edler, A Miltner, S Seung
arXiv preprint arXiv:1806.02932, 2018
132018
Aurasense: Robot collision avoidance by full surface proximity detection
X Fan, R Simmons-Edler, D Lee, L Jackel, R Howard, D Lee
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
112021
Towards practical credit assignment for deep reinforcement learning
V Alipov, R Simmons-Edler, N Putintsev, P Kalinin, D Vetrov
arXiv preprint arXiv:2106.04499, 2021
102021
Reward prediction error as an exploration objective in deep rl
R Simmons-Edler, B Eisner, D Yang, A Bisulco, E Mitchell, S Seung, ...
arXiv preprint arXiv:1906.08189, 2019
62019
QXplore: Q-learning exploration by maximizing temporal difference error
R Simmons-Edler, B Eisner, D Yang, A Bisulco, E Mitchell, S Seung, ...
42019
Apparatus for Q-learning for continuous actions with cross-entropy guided policies and method thereof
R Simmons-edler, B Eisner, E Mitchell, DD Lee, S Seung
US Patent 11,710,301, 2023
12023
Method and apparatus for robot collision avoidance by full surface proximity detection
FAN Xiaoran, RW Simmons-edler, D Lee, L Jackel, DD Lee, R Howard
US Patent App. 17/406,842, 2022
2022
Overcoming Sampling and Exploration Challenges in Deep Reinforcement Learning
RW Simmons-Edler
Princeton University, 2022
2022
Vision for Robotics in Optimal Control and Reinforcement Learning Systems
R Simmons-Edler
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Articles 1–11