activity
20192022
most citedMulti-Armed Bandit Strategies for Non-Stationary Reward Distributions and Delayed Feedback Processes

8 citations · 13 across the 5 of their papers we have counts for

collaborators
Showing cs.GTShow all

1 paper · 1 filter

cs.GT2022★ 1 cited

Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing

Larkin Liu

We investigate Nash equilibrium learning in a competitive Markov Game (MG) environment, where multiple agents compete, and multiple Nash equilibria can exist. In particular, for an…