email: bossensdm(at)cfar(dot)a-star(dot)edu(dot)sg
Welcome to the homepage of Dr. David Bossens, Senior Scientist at Centre for Frontier AI Research, A*STAR. My work is to design AI systems with an open mind to the various sub-disciplines though with an emphasis on safety and robustness.
News
- 08/2023 Second Safe RL Workshop joining forces with AISafety
https://sites.google.com/view/safe-rl-2023 - 07/2023: Join CFAR as Senior Scientist
- 01/2023: Presentation at the CFAR Rising Star Lecture Series
- 09/2022: Start project on Safety and Desirability Constraints for Drones on Construction sites
- 07/2022: First Safe RL Workshop at IJCAI:
https://sites.google.com/view/safe-rl-2022 - 06/2022: Paper proposing model-based robust-constrained method for safe exploration published at Machine Learning:
Bossens, D. M., & Bishop, N. (2022). Explicit Explore, Exploit, or Escape (E4): near-optimal safety-constrained reinforcement learning in polynomial time. Machine Learning. https://doi.org/10.1007/s10994-022-06201-z - 06/2022: Review paper on resilient robot teams published at Current Robotics Reports:
Bossens, D.M., Ramchurn, S. & Tarapore, D. Resilient Robot Teams: a Review Integrating Decentralised Control, Change-Detection, and Learning. Current Robotics Reports 3, 85–95 (2022). https://doi.org/10.1007/s43154-022-00079-4 - 02/2022: Paper for quality-diversity meta-evolution published at IEEE Transactions on Evolutionary Computation:
Bossens, D. M., & Tarapore, D. (2022). Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective. IEEE Transactions on Evolutionary Computation, c, 1–11. https://doi.org/10.1109/TEVC.2022.3152384