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Reinforcement Learning on Atari 57 full suite 2600

57Games Above Human CountAgent57
3.9617.7331.545.27Mar 30, 2020May 26, 2020Jul 22, 2020Sep 17, 2020Nov 13, 2020Jan 9, 2021Mar 8, 2021

Evaluation results

MethodLinks
Agent572020.03571004,766.251,933.491,091.07614.65324.78184.35116.67
R2D2variant=bandit2020.035496.935,461.662,357.921,298.8648.17303.61116.8293.25
R2D2variant=Retrace2020.035294.23,518.361,457.63817.77420.67267.25116.0348.32
R2D22020.035294.334,622.091,935.861,176.05529.23215.31115.3350.27
NGU2020.035195.073,421.81,359.78610.44267.1226.43107.7864.1
MuZero2020.035189.925,661.842,381.511,172.9503.05171.3975.740.03
APTRL interaction steps=100K, Contrastive Learning (CL)=true2021.0312—47.7333.41—————
VISRRL interaction steps=100K2021.0311—102.316.81—————
APTRL interaction steps=100K, Contrastive Learning (CL)=false2021.039—41.1228.65—————
DIAYNRL interaction steps=100K, Contrastive Learning (CL)=false2021.036—23.92.95—————
DIAYNRL interaction steps=100K, Contrastive Learning (CL)=true2021.036—25.143.28—————