3 citations · 7 across the 9 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2025
Bayesian Risk-Sensitive Policy Optimization For MDPs With General Loss Functions
Xiaoshuang Wang, Yifan Lin, Enlu Zhou
Motivated by many application problems, we consider Markov decision processes (MDPs) with a general loss function and unknown parameters. To mitigate the epistemic uncertainty asso…
cs.LG2024
Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate
Yifan Lin, Yuhao Wang, Enlu Zhou
Reinforcement learning provides a mathematical framework for learning-based control, whose success largely depends on the amount of data it can utilize. The efficient utilization o…
cs.LG2022
Risk-averse Contextual Multi-armed Bandit Problem with Linear Payoffs
Yifan Lin, Yuhao Wang, Enlu Zhou
In this paper we consider the contextual multi-armed bandit problem for linear payoffs under a risk-averse criterion. At each round, contexts are revealed for each arm, and the dec…