2 citations · 2 across the 2 of their papers we have counts for
2 papers
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.LG2016★ 2 cited
Matching while Learning
Ramesh Johari, Vijay Kamble, Yash Kanoria
We consider the problem faced by a service platform that needs to match limited supply with demand but also to learn the attributes of new users in order to match them better in th…