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 Presented at the Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning conference. 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 Presented at the Improved Policy Extraction via Online Q-Value Distillation conference. Glasgow: IEEE.

Lee, S., Lee, J., & Hasuo, I. (2020). Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning Presented at the Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning conference. 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 Presented at the Simple Continual Learning Strategies for Safer Classifers conference. CEUR. Retrieved from http://ceur-ws.org/Vol-2560/paper6.pdf (Original work published 2020)