Forward accessibility for recurrent neural networks. - Francesca Albertini; Paolo Dai Pra (IEEE Trans. Autom. Control., 1995)

Connections between stochastic control and dynamic games. - Paolo Dai Pra; Lorenzo Meneghini; Wolfgang J. Runggaldier (Math. Control. Signals Syst., 1996)

On dynamic programming for sequential decision problems under a general form of uncertainty. - Paolo Dai Pra; Wolfgang J. Runggaldier; Cristina Rudari (Math. Methods Oper. Res., 1997)

Almost sure optimality and optimality in probabilityfor stochastic control problems over aninfinite time horizon. - Paolo Dai Pra; Giovanni B. Di Masi; Barbara Trivellato (Ann. Oper. Res., 1999)

Pathwise Optimality in Stochastic Control. - Paolo Dai Pra; Giovanni B. Di Masi; Barbara Trivellato (SIAM J. Control. Optim., 2000)

Small Parameter Limit for Ergodic, Discrete-Time, Partially Observed, Risk-Sensitive Control Problems. - Francesca Albertini; Paolo Dai Pra; Chiara Prior (Math. Control. Signals Syst., 2001)

Stochastic Processes for Bounded Noise. - Giovanni Colombo; Paolo Dai Pra; Vlastimil Krivan; Ivo Vrkoc (Math. Control. Signals Syst., 2003)

Pathwise optimality for benchmark tracking. - Paolo Dai Pra; Wolfgang J. Runggaldier; Marco Tolotti (IEEE Trans. Autom. Control., 2004)

A Constructive Approach to a Class of Ergodic HJB Equations with Unbounded and Nonsmooth Cost. - Patrick Cattiaux; Paolo Dai Pra; Sylvie Roelly (SIAM J. Control. Optim., 2008)

A Maximum Entropy Approach to the Realizability of Spin Correlation Matrices. - Paolo Dai Pra; Michele Pavon; Neeraja Sahasrabudhe (Entropy, 2013)

Synchronization via Interacting Reinforcement. - Paolo Dai Pra; Pierre-Yves Louis; Ida G. Minelli (J. Appl. Probab., 2014)

Stationary measures and phase transition for a class of probabilistic cellular automata. - Paolo Dai Pra; Pierre-Yves Louis; Sylvie Roelly (CoRR, 2016)

Climb on the Bandwagon: Consensus and Periodicity in a Lifetime Utility Model with Strategic Interactions. - Paolo Dai Pra; Elena Sartori; Marco Tolotti (Dyn. Games Appl., 2019)

On the Convergence Problem in Mean Field Games: A Two State Model without Uniqueness. - Alekos Cecchin; Paolo Dai Pra; Markus Fischer; Guglielmo Pelino (SIAM J. Control. Optim., 2019)

Polarization and Coherence in Mean Field Games Driven by Private and Social Utility. - Paolo Dai Pra; Elena Sartori; Marco Tolotti (J. Optim. Theory Appl., 2023)

Dependability Evaluation of Industrial Networks by Using Monte Carlo With Importance Sampling. - Paolo Guarino; Filippo Nevi; Paolo Dai Pra; Davide Quaglia; Tiziano Villa (ETFA, 2024)