paper-with-me

Atari Games 벤치마크

Atari Games on Atari 2600 Skiing

46개 결과 · ⬇ CSV · JSON

Score

-3.002e+04 -2.252e+04 -1.501e+04 -7505 0 2012-07 2026-09 Best Learner — 0.0 (2012-07-19) Full Tree — 0.0 (2012-07-19) Best Learner — 0.0 (2012-07-19) Full Tree — 0.0 (2012-07-19) Advantage Learning — -13264.51 (2015-12-15) Advantage Learning — -13264.51 (2015-12-15) NoisyNet-Dueling — -7550.0 (2017-06-30) NoisyNet-Dueling — -7550.0 (2017-06-30) QR-DQN-1 — -9324.0 (2017-10-27) QR-DQN-1 — -9324.0 (2017-10-27) IMPALA (deep) — -10180.38 (2018-02-05) IMPALA (deep) — -10180.38 (2018-02-05) Ape-X — -10789.9 (2018-03-02) Ape-X — -10789.9 (2018-03-02) IQN — -9289.0 (2018-06-14) CGP — -9011.0 (2018-06-14) IQN — -9289.0 (2018-06-14) CGP — -9011.0 (2018-06-14) R2D2 — -30021.7 (2019-05-01) R2D2 — -30021.7 (2019-05-01) FQF — -9085.3 (2019-11-05) FQF — -9085.3 (2019-11-05) MuZero — -29968.36 (2019-11-19) MuZero — -29968.36 (2019-11-19) Agent57 — -4202.6 (2020-03-30) Agent57 — -4202.6 (2020-03-30) Go-Explore — -3660.0 (2020-04-27) Go-Explore — -3660.0 (2020-04-27) DreamerV2 — -9299.0 (2020-10-05) DreamerV2 — -9299.0 (2020-10-05) Recurrent Rational DQN Average — -23582.0 (2021-02-18) Rational DQN Average — -23487.0 (2021-02-18) Recurrent Rational DQN Average — -23582.0 (2021-02-18) Rational DQN Average — -23487.0 (2021-02-18) MuZero (Res2 Adam) — -30000.0 (2021-04-13) MuZero (Res2 Adam) — -30000.0 (2021-04-13) GDI-I3 — -6774.0 (2021-06-11) GDI-I3 — -6774.0 (2021-06-11) GDI-I3 — -6774.0 (2022-06-07) GDI-H3 — -6025.0 (2022-06-07) GDI-I3 — -6774.0 (2022-06-07) GDI-H3 — -6025.0 (2022-06-07) DNA — -29974.0 (2022-06-20) DNA — -29974.0 (2022-06-20) ASL DDQN — -8295.4 (2023-05-07) ASL DDQN — -8295.4 (2023-05-07) Best Learner — 0.0 (2012-07-19)
RankModel Score Extra Training Data PaperCodeYear
1 Best Learner 0 The Arcade Learning Environment: An Evaluation Platform for General Agents mgbellemare/Arcade-Learning-Environment · kenjyoung/MinAtar · nandomp/AICollaboratory 2012
1 Full Tree 0 The Arcade Learning Environment: An Evaluation Platform for General Agents mgbellemare/Arcade-Learning-Environment · kenjyoung/MinAtar · nandomp/AICollaboratory 2012
3 IQN -9289 ✓ Implicit Quantile Networks for Distributional Reinforcement Learning opendilab/DI-engine · chainer/chainerrl · Kchu/DeepRL_CK · +16 2018
4 MuZero -29968.36 ✓ Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model werner-duvaud/muzero-general · opendilab/LightZero · koulanurag/muzero-pytorch · +15 2019
5 R2D2 -30021.7 ✓ Recurrent Experience Replay in Distributed Reinforcement Learning opendilab/DI-engine · michaelnny/deep_rl_zoo · garymm/earl 2019
6 IMPALA (deep) -10180.38 ✓ IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ray-project/ray · opendilab/DI-engine · deepmind/haiku · +21 2018
7 FQF -9085.3 ✓ Fully Parameterized Quantile Function for Distributional Reinforcement Learning opendilab/DI-engine · ku2482/fqf-iqn-qrdqn.pytorch · ku2482/rljax · +3 2019
8 NoisyNet-Dueling -7550 ✓ Noisy Networks for Exploration opendilab/DI-engine · Curt-Park/rainbow-is-all-you-need · chainer/chainerrl · +12 2017
9 CGP -9011 ✓ Evolving simple programs for playing Atari games ShuhuaGao/gpFlappyBird · JacobLaney/cgp-tetris 2018
10 QR-DQN-1 -9324 ✓ Distributional Reinforcement Learning with Quantile Regression DLR-RM/stable-baselines3 · facebookresearch/Horizon · facebookresearch/ReAgent · +14 2017
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