31 citations · 62 across the 6 of their papers we have counts for
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cs.AI2018
Using deep Q-learning to understand the tax evasion behavior of risk-averse firms
Nikolaos D. Goumagias, Dimitrios Hristu-Varsakelis, Yannis M. Assael
Designing tax policies that are effective in curbing tax evasion and maximize state revenues requires a rigorous understanding of taxpayer behavior. This work explores the problem…
cs.AI2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster, Yannis M. Assael, Nando de Freitas +1
We consider the problem of multiple agents sensing and acting in environments with the goal of maximising their shared utility. In these environments, agents must learn communicati…