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Found 5 papers, 0 papers with code
Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate
The efficient utilization of historical trajectories obtained from previous policies is essential for expediting policy optimization.
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
We consider infinite-horizon Markov Decision Processes where parameters, such as transition probabilities, are unknown and estimated from data.
Risk-averse Contextual Multi-armed Bandit Problem with Linear Payoffs
In particular, we consider mean-variance as the risk criterion, and the best arm is the one with the largest mean-variance reward.
Design of optical voltage sensor based on electric field regulation and rotating isomerism electrode
This technology could shift the measured signal frequency band from near 50 Hz moved to several kilometer Hz, so as to make the output signal avoid the interference from low-frequency temperature drift, stress birefringence and vibration, leading to higher stability and reliability.
Bayesian Risk Markov Decision Processes
We consider finite-horizon Markov Decision Processes where parameters, such as transition probabilities, are unknown and estimated from data.
