Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates S Gu, E Holly, T Lillicrap, S Levine 2017 IEEE international conference on robotics and automation (ICRA), 3389-3396, 2017 | 1438 | 2017 |
Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation D Kalashnikov, A Irpan, P Pastor, J Ibarz, A Herzog, E Jang, D Quillen, ... arXiv preprint arXiv:1806.10293, 2018 | 658 | 2018 |
Scalable deep reinforcement learning for vision-based robotic manipulation D Kalashnikov, A Irpan, P Pastor, J Ibarz, A Herzog, E Jang, D Quillen, ... Conference on Robot Learning, 651-673, 2018 | 411 | 2018 |
TF-Agents: A library for reinforcement learning in tensorflow S Guadarrama, A Korattikara, O Ramirez, P Castro, E Holly, S Fishman, ... GitHub repository, 2018 | 133 | 2018 |
Deep reinforcement learning for robotic manipulation S Gu, E Holly, TP Lillicrap, S Levine arXiv preprint arXiv:1610.00633 1, 2016 | 104 | 2016 |
Deep reinforcement learning for robotic manipulation D Kalashnikov, A Irpan, PP Sampedro, J Ibarz, A Herzog, E Jang, ... US Patent App. 17/052,679, 2021 | 5 | 2021 |
Deep reinforcement learning for robotic manipulation S Levine, E Holly, S Gu, T Lillicrap US Patent App. 17/878,186, 2022 | | 2022 |
Deep reinforcement learning for robotic manipulation S Levine, E Holly, S Gu, T Lillicrap US Patent 11,400,587, 2022 | | 2022 |