Foundations of deep reinforcement learning: theory and practice in Python L Graesser, WL Keng Addison-Wesley Professional, 2019 | 158 | 2019 |
Emergent linguistic phenomena in multi-agent communication games L Graesser, K Cho, D Kiela Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 73 | 2019 |
i-sim2real: Reinforcement learning of robotic policies in tight human-robot interaction loops SW Abeyruwan, L Graesser, DB D’Ambrosio, A Singh, A Shankar, ... Conference on Robot Learning, 212-224, 2022 | 40 | 2022 |
Robotic table tennis with model-free reinforcement learning W Gao, L Graesser, K Choromanski, X Song, N Lazic, P Sanketi, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 32 | 2020 |
The state of sparse training in deep reinforcement learning L Graesser, U Evci, E Elsen, PS Castro International Conference on Machine Learning, 7766-7792, 2022 | 27 | 2022 |
Slm lab: A comprehensive benchmark and modular software framework for reproducible deep reinforcement learning KW Loon, L Graesser, M Cvitkovic arXiv preprint arXiv:1912.12482, 2019 | 19* | 2019 |
Learning high speed precision table tennis on a physical robot T Ding, L Graesser, S Abeyruwan, DB D'Ambrosio, A Shankar, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 8* | 2022 |
Robotic table tennis: A case study into a high speed learning system DB D'Ambrosio, J Abelian, S Abeyruwan, M Ahn, A Bewley, J Boyd, ... Robotics Science and Systems (RSS), 2023, 2023 | 5 | 2023 |
Gender diversity of conference leadership [Women in Engineering] L Graesser, A Faust, H Kress-Gazit, L Tapia, R Ulinski IEEE Robotics & Automation Magazine 28 (2), 126-130, 2021 | 4 | 2021 |
A dual-receptor model of serotonergic psychedelics: therapeutic insights from simulated cortical dynamics A Juliani, V Chelu, L Graesser, A Safron bioRxiv, 2024.04. 12.589282, 2024 | | 2024 |