Hunt, Jonathan J

Continuous control with deep reinforcement learning

Lillicrap, T. P., Hunt, J. J., Pritzel, A., Heess, N., Erez, T., Tassa, Y., Silver, D., & Wierstra, D. (2015) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 10,782

Deep Reinforcement Learning in Large Discrete Action Spaces

Dulac-Arnold, G., Evans, R., van Hasselt, H., Sunehag, P., Lillicrap, T., Hunt, J., Mann, T., Weber, T., Degris, T., & Coppin, B. (2015) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 290

Memory-based control with recurrent neural networks

Heess, N., Hunt, J. J., Lillicrap, T. P., & Silver, D. (2015) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 211

Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes

Rae, J. W., Hunt, J. J., Harley, T., Danihelka, I., Senior, A., Wayne, G., Graves, A., & Lillicrap, T. P. (2016) · arXiv

Neural Networks and ApplicationsTopic Modeling

Cited by 89

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Wang, Z., Hunt, J. J., & Zhou, M. (2022) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 83