114 citations · 379 across the 34 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL
Qinghua Liu, Gellért Weisz, András György +2
While policy optimization algorithms have played an important role in recent empirical success of Reinforcement Learning (RL), the existing theoretical understanding of policy opti…
cs.LG2023
A Second-Order Method for Stochastic Bandit Convex Optimisation
Tor Lattimore, András György
We introduce a simple and efficient algorithm for unconstrained zeroth-order stochastic convex bandits and prove its regret is at most $(1 + r/d)[d^{1.5} \sqrt{n} + d^3] polylog(n,…