20 citations · 47 across the 7 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2019★ 8 cited
Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs
Adrian Rivera Cardoso, Jacob Abernethy, He Wang +1
We study the problem of repeated play in a zero-sum game in which the payoff matrix may change, in a possibly adversarial fashion, on each round; we call these Online Matrix Games.…
cs.LG2019★ 2 cited
Large Scale Markov Decision Processes with Changing Rewards
Adrian Rivera Cardoso, He Wang, Huan Xu
We consider Markov Decision Processes (MDPs) where the rewards are unknown and may change in an adversarial manner. We provide an algorithm that achieves state-of-the-art regret bo…
cs.LG2018★ 20 cited
Risk-Averse Stochastic Convex Bandit
Adrian Rivera Cardoso, Huan Xu
Motivated by applications in clinical trials and finance, we study the problem of online convex optimization (with bandit feedback) where the decision maker is risk-averse. We prov…