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MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions.
Viswanath Sivakumar
Tim Rocktäschel
Alexander H. Miller
Heinrich Küttler
Nantas Nardelli
Mike Rabbat
Joelle Pineau
Sebastian Riedel
Published in:
CoRR (2019)
Keyphrases
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reinforcement learning
congestion control
end to end
action selection
data sets
optimal policy
markov decision processes
congestion avoidance
cost function
action space
transmission rate