most citedVision Transformer for Learning Driving Policies in Complex Multi-Agent Environments

3 citations · 4 across the 3 of their papers we have counts for

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cs.LG2021★ 3 cited

Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments

Eshagh Kargar, Ville Kyrki

Driving in a complex urban environment is a difficult task that requires a complex decision policy. In order to make informed decisions, one needs to gain an understanding of the l…

cs.LG2021

MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization

Eshagh Kargar, Ville Kyrki

This work considers the problem of learning cooperative policies in multi-agent settings with partially observable and non-stationary environments without a communication channel.…