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Reinforcement Learning on Atari 2600 (test)

6,875AlienHuman Expert
124.4641,877.0073,629.555,382.093Jul 3, 2015Aug 26, 2016Oct 20, 2017Dec 15, 2018Feb 8, 2020Apr 3, 2021May 29, 2022

Evaluation results

MethodLinks
Human Expert2015.076,87513,157734.45,775154.831.8309.629.64,3354,3679.313,45520,1821,652——————————————————
DQNepochs=10002015.073,0691,629429.76,84642.4401.2301.830.3328.3018.910,5965,2861,976——————————————————
Exploration Static AEepochs=1002015.071,4361,4861311,52013016226410.5649018.53,2912,636649——————————————————
Thompson Samplingepochs=1002015.071,3228121291,36185.222223612494018.23,2511,337459——————————————————
Boltzman Explorationepochs=1002015.071,3011,2871011,22811321928413.9605018.24,0143,808697——————————————————
PEERAmount of training data=100k2022.051,218.9—78.6——8.5—30.42,151—-9.52,197.7538.5—185.2721918.215,727.314.51,451.818,922.71,236.7681.87,499.9414.11,148.25,444.715,439.11,768.43,207.710,697.37,680.9
Exploration Dynamic AEepochs=1002015.071,190939951,64013317827712.5380018.23,2634,472716——————————————————
DQNepochs=1002015.071,0181,0431021,60468.114628110.5369017.64,6492,106634——————————————————
MuZero2022.05530—192.5——48—21.8255—-6.73,952208—38.8500.11,7347,687.515.11,35056,9373,5271,2563,09587.562.54,890.818,8131,265.656.32,5002,896.9
Dreamer-V2Amount of training data=1000k2022.05384.1—127.1——1.5—11.6302.5—-18.3318.6356—29.8433.4330.64,20037.7687.525,232.5182.9820.22,18581.21503,853.812,420.3647.9188.83,622.58,025.1