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Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
Kehan Long, Jorge Cortés, Nikolay Atanasov
Establishing stability certificates for closed-loop systems under reinforcement learning (RL) policies is essential to move beyond empirical performance and offer guarantees of sys…
Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities
Parth Paritosh, Nikolay Atanasov, Sonia Martinez
In this paper, we aim to design and analyze distributed Bayesian estimation algorithms for sensor networks. The challenges we address are to (i) derive a distributed provably-corre…
Distributed Variational Inference for Online Supervised Learning
Parth Paritosh, Nikolay Atanasov, Sonia Martinez
Developing efficient solutions for inference problems in intelligent sensor networks is crucial for the next generation of location, tracking, and mapping services. This paper deve…