David Mark Bossens

According to our database, David Mark Bossens authored at least 6 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLM Agents Make Collective Belief Dynamics Programmable: Challenges and Research Directions.

Xin He, Junxi Shen, Yuchen Mou, David Mark Bossens, Caishun Chen, Ivor W. Tsang, Yew Soon Ong

CoRR, May, 2026

2025

Mirror Descent Policy Optimisation for Robust Constrained Markov Decision Processes.

David Mark Bossens, Atsushi Nitanda

Trans. Mach. Learn. Res., 2025

Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration.

Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity.

Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor W. Tsang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration.

Heyang Zhao, Xingrui Yu, David Mark Bossens, Ivor W. Tsang, Quanquan Gu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Quality Diversity Imitation Learning.

Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor W. Tsang

CoRR, 2024