24 citations · 46 across the 18 of their papers we have counts for
3 papers · 1 filter
Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization
Marco Calì, Giulio Giacomuzzo, Ruggero Carli +1
This paper addresses the slow policy optimization convergence of Monte Carlo Probabilistic Inference for Learning Control (MC-PILCO), a state-of-the-art model-based reinforcement l…
Exploiting Estimation Bias in Clipped Double Q-Learning for Continous Control Reinforcement Learning Tasks
Niccolò Turcato, Alberto Sinigaglia, Alberto Dalla Libera +2
Continuous control Deep Reinforcement Learning (RL) approaches are known to suffer from estimation biases, leading to suboptimal policies. This paper introduces innovative methods…
A novel Multiplicative Polynomial Kernel for Volterra series identification
Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto
Volterra series are especially useful for nonlinear system identification, also thanks to their capability to approximate a broad range of input-output maps. However, their identif…