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cs.LG2026
Hybrid Belief Reinforcement Learning for Efficient Coordinated Spatial Exploration
Danish Rizvi, David Boyle
Coordinating multiple autonomous agents to explore and serve spatially heterogeneous demand requires jointly learning unknown spatial patterns and planning trajectories that maximi…
cs.LG2023
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
Yanran Wang, Qiuchen Qian, David Boyle
Reinforcement learning can provide effective reasoning for sequential decision-making problems with variable dynamics. Such reasoning in practical implementation, however, poses a…