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David Bossens
David Bossens
Senior Scientist, Centre for Frontier AI Research, A*STAR
Verified email at cfar.a-star.edu.sg - Homepage
Title
Cited by
Cited by
Year
QED: using Quality-Environment-Diversity to evolve resilient robot swarms
DM Bossens, D Tarapore
IEEE Transactions on Evolutionary Computation 25 (2), 346-357, 2020
192020
Learning behaviour-performance maps with meta-evolution
DM Bossens, JB Mouret, D Tarapore
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 49-57, 2020
182020
Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation
DM Bossens, D Tarapore
2021 IEEE International Conference on Robotics and Automation (ICRA), 9848-9854, 2021
152021
Learning to learn with active adaptive perception
DM Bossens, NC Townsend, AJ Sobey
Neural Networks 115, 30-49, 2019
92019
Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective
DM Bossens, D Tarapore
IEEE Transactions on Evolutionary Computation, 2022
72022
Explicit Explore, Exploit, or Escape (): near-optimal safety-constrained reinforcement learning in polynomial time
DM Bossens, N Bishop
Machine Learning, 1-42, 2022
42022
Lifetime policy reuse and the importance of task capacity
DM Bossens, AJ Sobey
AI Communications, 1-34, 2023
32023
Resilient robot teams: a review integrating decentralised control, change-detection, and learning
DM Bossens, S Ramchurn, D Tarapore
Current Robotics Reports, 2022
32022
ASVLite: a high-performance simulator for autonomous surface vehicles
T Thomas, DM Bossens, D Tarapore
2021 IEEE International Conference on Robotics and Automation (ICRA), 2249-2255, 2021
22021
On the use of feature-maps and parameter control for improved quality-diversity meta-evolution
DM Bossens, D Tarapore
arXiv preprint arXiv:2105.10317, 2021
22021
Robust Lagrangian and Adversarial Policy Gradient for Robust Constrained Markov Decision Processes
DM Bossens
arXiv preprint arXiv:2308.11267, 2023
2023
Low Variance Off-policy Evaluation with State-based Importance Sampling
DM Bossens, P Thomas
arXiv preprint arXiv:2212.03932, 2022
2022
Trust in Language Grounding: a new AI challenge for human-robot teams
DM Bossens, C Evers
arXiv preprint arXiv:2209.02066, 2022
2022
On the use of feature-maps for improved quality-diversity meta-evolution
DM Bossens, D Tarapore
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
2021
Reinforcement learning with limited prior knowledge in long-term environments
D Bossens
University of Southampton, 2020
2020
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