3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Proximal Residual Value Functions for Consistent Planning and Real-Time Execution
Harrison Waldon, Carson Eisenach, Akhil Bagaria +4
We study two-timescale decision systems in which a planning layer periodically supplies a continuation-value function to a real-time optimizer that allocates arriving resources, wi…
cs.LG2026
Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients
Matias Alvo, Daniel Russo, Yash Kanoria
We study reinforcement learning in hybrid discrete-continuous action spaces, such as settings where the discrete component selects a regime (or index) and the continuous component…
cs.LG2024★ 3 cited
Optimizing Adaptive Experiments: A Unified Approach to Regret Minimization and Best-Arm Identification
Chao Qin, Daniel Russo
Practitioners conducting adaptive experiments often encounter two competing priorities: maximizing total welfare (or `reward') through effective treatment assignment and swiftly co…