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Vincent François-Lavet

2 papers indexed

arxivcs.AI2026-07-20

Neuro-Symbolic Meta-Policies for Temporal Knowledge-Graph Memory under Partial Observability

Taewoon Kim, Vincent François-Lavet, Michael Cochez

Partially observable reinforcement learning requires deciding what to retain, retrieve, and forget over time. We introduce a neuro-symbolic meta-policy that learns which symbolic memory heuristic to apply at each decision point while keeping execution symbolic. Our setting uses t…

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arxivcs.LGcs.AI2026-06-25

State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading

Jesper Klicks, Sander Vržina, Vincent François-Lavet

Energy trading decisions depend not only on current market prices, but also on expected future market conditions, and operational constraints. This makes the state representation given to a reinforcement learning agent an important design choice. We study this in HydroDam, a pump…

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