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Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
Sanket Kamthe, Marc Peter Deisenroth
Trial-and-error based reinforcement learning (RL) has seen rapid advancements in recent times, especially with the advent of deep neural networks. However, the majority of autonomo…
Multi-modal filtering for non-linear estimation
Sanket Kamthe, Jan Peters, Marc P Deisenroth
Multi-modal densities appear frequently in time series and practical applications. However, they cannot be represented by common state estimators, such as the Extended Kalman Filte…
Robust Filtering and Smoothing with Gaussian Processes
Marc Peter Deisenroth, Ryan Turner, Marco F. Huber +2
We propose a principled algorithm for robust Bayesian filtering and smoothing in nonlinear stochastic dynamic systems when both the transition function and the measurement function…