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 | 71 | 2016 |
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 | 25 | 2019 |
Program synthesis through reinforcement learning guided tree search R Simmons-Edler, A Miltner, S Seung arXiv preprint arXiv:1806.02932, 2018 | 13 | 2018 |
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 | 11 | 2021 |
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 | 10 | 2021 |
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 | 6 | 2019 |
QXplore: Q-learning exploration by maximizing temporal difference error R Simmons-Edler, B Eisner, D Yang, A Bisulco, E Mitchell, S Seung, ... | 4 | 2019 |
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 | 1 | 2023 |
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 | | |