22 citations · 90 across the 19 of their papers we have counts for
3 papers · 1 filter
Learning Approximately Optimal Contracts
Alon Cohen, Moran Koren, Argyrios Deligkas
In principal-agent models, a principal offers a contract to an agent to perform a certain task. The agent exerts a level of effort that maximizes her utility. The principal is obli…
Online Linear Quadratic Control
Alon Cohen, Avinatan Hassidim, Tomer Koren +3
We study the problem of controlling linear time-invariant systems with known noisy dynamics and adversarially chosen quadratic losses. We present the first efficient online learnin…
Planning and Learning with Stochastic Action Sets
Craig Boutilier, Alon Cohen, Amit Daniely +5
In many practical uses of reinforcement learning (RL) the set of actions available at a given state is a random variable, with realizations governed by an exogenous stochastic proc…