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autonomous driving. Demonstrated track record of publishing high-quality research in leading international journals and research interests aligned with the transition from human-driven vehicles to safe
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societies, biological systems and groups of artificial agents. It also lies behind practical questions about collective action: whether communities manage shared resources, whether autonomous systems
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societies, biological systems and groups of artificial agents. It also lies behind practical questions about collective action: whether communities manage shared resources, whether autonomous systems
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-ergodic dynamics, such an average may differ arbitrarily from what the individual agent experiences as it lives out one trajectory over time. Furthermore, RL typically seeks a time-invariant policy that
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reset, failures can be irreversible, and the real world keeps changing. Standard RL finds policies by optimizing over many hypothetical futures. Under non-ergodic dynamics, such an average may differ