Reference author: Jaeyoung Lee

Lee, J. ., Balakrishnan, A. ., Gaurav, A. ., Czarnecki, K. ., & Sedwards, S. . (2019). WiseMove: A Framework to Investigate Safe Reinforcement Learning for Autonomous Driving. Glasgow, Scotland: Springer.

Lee, J. ., Sedwards, S. ., & Czarnecki, K. . (2023). Uniformly Constrained Reinforcement Learning. Accepted for Publication in Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS): Special Issue on Multi-Objective Decision Making (MODeM).

Abdelzad, V. ., Lee, J. ., Sedwards, S. ., Soltani, S. ., & Czarnecki, K. . (2021). Non-divergent Imitation for Verification of Complex Learned Controllers. Shenzhen, China (virtual): IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533410

Lee, J. ., & Sutton, R. S. (2021). Policy iterations for reinforcement learning problems in continuous time and space \textemdash Fundamental theory and methods. Automatica, 126, 109421, 15 pages. https://doi.org/10.1016/j.automatica.2020.109421 (Original work published 2021)

Lee, S. ., Lee, J. ., & Hasuo, I. . (2021). Predictive PER: Balancing Priority and Diversity Towards Stable Deep Reinforcement Learning. Shenzhen, China (virtual): IEEE. https://doi.org/10.1109/IJCNN52387.2021.9534243

Lee, J. ., Sedwards, S. ., & Czarnecki, K. . (2021). Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning. Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning. Presented at the. Online at http://modem2021.cs.nuigalway.ie/. Retrieved from https://arxiv.org/abs/2201.07958

Balakrishnan, A. ., Lee, J. ., Gaurav, A. ., Czarnecki, K. ., & Sedwards, S. . (2021). Transfer Reinforcement Learning for Autonomous Driving: From WiseMove to WiseSim. ACM Transactions on Modeling and Computer Simulation, 31, Article No. 15, pp 1~26. https://doi.org/10.1145/3449356 (Original work published 2021)

Jhunjhunwala, A. ., Lee, J. ., Sedwards, S. ., Abdelzad, V. ., & Czarnecki, K. . (2020). Improved Policy Extraction via Online Q-Value Distillation. Improved Policy Extraction via Online Q-Value Distillation. Presented at the. Glasgow: IEEE.

Lee, S. ., Lee, J. ., & Hasuo, I. . (2020). Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning. Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning. Presented at the. Retrieved from https://sites.google.com/view/deep-rl-workshop-neurips2020/home

Gaurav, A. ., Vernekar, S. ., Lee, J. ., Sedwards, S. ., Abdelzad, V. ., & Czarnecki, K. . (2020). Simple Continual Learning Strategies for Safer Classifers. Simple Continual Learning Strategies for Safer Classifers. Presented at the. CEUR. Retrieved from http://ceur-ws.org/Vol-2560/paper6.pdf (Original work published 2020)