paper-with-me

Atari Games 벤치마크

Atari Games on Atari 2600 Space Invaders

110개 결과 · ⬇ CSV · JSON

Score

160.8 3.872e+04 7.727e+04 1.158e+05 1.544e+05 2012-07 2026-09 UCT — 2718.0 (2012-07-19) Best Learner — 250.1 (2012-07-19) UCT — 2718.0 (2012-07-19) Best Learner — 250.1 (2012-07-19) DQN Best — 1075.0 (2013-12-19) DQN Best — 1075.0 (2013-12-19) Nature DQN — 1976.0 (2015-02-25) Nature DQN — 1976.0 (2015-02-25) Gorila — 1183.3 (2015-07-15) Gorila — 1183.3 (2015-07-15) Prior+Duel hs — 8978.0 (2015-09-22) DDQN (tuned) hs — 2628.7 (2015-09-22) DQN noop — 1692.3 (2015-09-22) DQN hs — 1293.8 (2015-09-22) Prior+Duel hs — 8978.0 (2015-09-22) DDQN (tuned) hs — 2628.7 (2015-09-22) DQN noop — 1692.3 (2015-09-22) DQN hs — 1293.8 (2015-09-22) Prior hs — 3912.1 (2015-11-18) Prior noop — 2865.8 (2015-11-18) Prior hs — 3912.1 (2015-11-18) Prior noop — 2865.8 (2015-11-18) Prior+Duel noop — 15311.5 (2015-11-20) Duel noop — 6427.3 (2015-11-20) Duel hs — 5993.1 (2015-11-20) DDQN (tuned) noop — 2525.5 (2015-11-20) Prior+Duel noop — 15311.5 (2015-11-20) Duel noop — 6427.3 (2015-11-20) Duel hs — 5993.1 (2015-11-20) DDQN (tuned) noop — 2525.5 (2015-11-20) DARQN soft — 650.0 (2015-12-05) DARQN soft — 650.0 (2015-12-05) Advantage Learning — 3460.79 (2015-12-15) Persistent AL — 3277.59 (2015-12-15) Advantage Learning — 3460.79 (2015-12-15) Persistent AL — 3277.59 (2015-12-15) A3C LSTM hs — 23846.0 (2016-02-04) A3C FF hs — 15730.5 (2016-02-04) A3C FF (1 day) hs — 2214.7 (2016-02-04) A3C LSTM hs — 23846.0 (2016-02-04) A3C FF hs — 15730.5 (2016-02-04) A3C FF (1 day) hs — 2214.7 (2016-02-04) Bootstrapped DQN — 2893.0 (2016-02-15) Bootstrapped DQN — 2893.0 (2016-02-15) DDQN+Pop-Art noop — 2589.7 (2016-02-24) DDQN+Pop-Art noop — 2589.7 (2016-02-24) ES FF (1 hour) noop — 678.5 (2017-03-10) ES FF (1 hour) noop — 678.5 (2017-03-10) NoisyNet-Dueling — 5909.0 (2017-06-30) NoisyNet-Dueling — 5909.0 (2017-06-30) C51 noop — 5747.0 (2017-07-21) C51 noop — 5747.0 (2017-07-21) MAC — 1173.1 (2017-09-01) MAC — 1173.1 (2017-09-01) Rainbow — 12629.0 (2017-10-06) Rainbow — 12629.0 (2017-10-06) QR-DQN-1 — 20972.0 (2017-10-27) QR-DQN-1 — 20972.0 (2017-10-27) DDRL A3C — 650.0 (2018-01-09) DDRL A3C — 650.0 (2018-01-09) IMPALA (deep) — 43595.78 (2018-02-05) IMPALA (deep) — 43595.78 (2018-02-05) Ape-X — 54681.0 (2018-03-02) Ape-X — 54681.0 (2018-03-02) IDVQ + DRSC + XNES — 830.0 (2018-06-04) IDVQ + DRSC + XNES — 830.0 (2018-06-04) IQN — 28888.0 (2018-06-14) A2C + SIL — 2951.7 (2018-06-14) CGP — 1001.0 (2018-06-14) IQN — 28888.0 (2018-06-14) A2C + SIL — 2951.7 (2018-06-14) CGP — 1001.0 (2018-06-14) POP3D — 1216.15 (2018-07-02) POP3D — 1216.15 (2018-07-02) R2D2 — 43223.4 (2019-05-01) R2D2 — 43223.4 (2019-05-01) SAC — 160.8 (2019-10-16) SAC — 160.8 (2019-10-16) FQF — 46498.3 (2019-11-05) FQF — 46498.3 (2019-11-05) MuZero — 74335.3 (2019-11-19) MuZero — 74335.3 (2019-11-19) Agent57 — 48680.86 (2020-03-30) Agent57 — 48680.86 (2020-03-30) MFEC — 1990.0 (2020-08-21) MFEC — 1990.0 (2020-08-21) DreamerV2 — 2474.0 (2020-10-05) DreamerV2 — 2474.0 (2020-10-05) Recurrent Rational DQN Average — 1395.0 (2021-02-18) Rational DQN Average — 650.0 (2021-02-18) Recurrent Rational DQN Average — 1395.0 (2021-02-18) Rational DQN Average — 650.0 (2021-02-18) MuZero (Res2 Adam) — 3645.63 (2021-04-13) MuZero (Res2 Adam) — 3645.63 (2021-04-13) GDI-I3 — 140460.0 (2021-06-11) GDI-I3 — 140460.0 (2021-06-11) GDI-H3(200M frames) — 154380.0 (2022-06-07) GDI-H3 — 154380.0 (2022-06-07) GDI-I3 — 140460.0 (2022-06-07) GDI-H3(200M frames) — 154380.0 (2022-06-07) GDI-H3 — 154380.0 (2022-06-07) GDI-I3 — 140460.0 (2022-06-07) DNA — 2731.0 (2022-06-20) DNA — 2731.0 (2022-06-20) ASL DDQN — 21602.0 (2023-05-07) ASL DDQN — 21602.0 (2023-05-07) UCT — 2718.0 (2012-07-19) Prior+Duel hs — 8978.0 (2015-09-22) Prior+Duel noop — 15311.5 (2015-11-20) A3C LSTM hs — 23846.0 (2016-02-04) IMPALA (deep) — 43595.78 (2018-02-05) Ape-X — 54681.0 (2018-03-02) MuZero — 74335.3 (2019-11-19) GDI-I3 — 140460.0 (2021-06-11) GDI-H3(200M frames) — 154380.0 (2022-06-07)
RankModel ScoreBest ScoreReturn PaperCodeYear
1 GDI-H3(200M frames) 154380 Generalized Data Distribution Iteration 2022
1 GDI-H3 154380 Generalized Data Distribution Iteration 2022
3 GDI-I3 140460 Generalized Data Distribution Iteration 2022
3 GDI-I3 140460 GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning 2021
5 MuZero 74335.30 Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model werner-duvaud/muzero-general · opendilab/LightZero · koulanurag/muzero-pytorch · +15 2019
6 Ape-X 54681 Distributed Prioritized Experience Replay ray-project/ray · vwxyzjn/cleanrl · opendilab/DI-engine · +12 2018
7 Agent57 48680.86 Agent57: Outperforming the Atari Human Benchmark michaelnny/deep_rl_zoo · pocokhc/agent57 · yuta0821/agent57_pytorch · +2 2020
8 FQF 46498.3 Fully Parameterized Quantile Function for Distributional Reinforcement Learning opendilab/DI-engine · ku2482/fqf-iqn-qrdqn.pytorch · ku2482/rljax · +3 2019
9 IMPALA (deep) 43595.78 IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ray-project/ray · opendilab/DI-engine · deepmind/haiku · +21 2018
10 R2D2 43223.4 Recurrent Experience Replay in Distributed Reinforcement Learning opendilab/DI-engine · michaelnny/deep_rl_zoo · garymm/earl 2019
11 IQN 28888 Implicit Quantile Networks for Distributional Reinforcement Learning opendilab/DI-engine · chainer/chainerrl · Kchu/DeepRL_CK · +16 2018
12 A3C LSTM hs 23846.0 Asynchronous Methods for Deep Reinforcement Learning ray-project/ray · DLR-RM/stable-baselines3 · tensorpack/tensorpack · +67 2016
13 ASL DDQN 21602 Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity xinjinghao/color 2023
14 QR-DQN-1 20972 Distributional Reinforcement Learning with Quantile Regression DLR-RM/stable-baselines3 · facebookresearch/Horizon · facebookresearch/ReAgent · +14 2017
15 A3C FF hs 15730.5 Asynchronous Methods for Deep Reinforcement Learning ray-project/ray · DLR-RM/stable-baselines3 · tensorpack/tensorpack · +67 2016
16 Prior+Duel noop 15311.5 Dueling Network Architectures for Deep Reinforcement Learning labmlai/annotated_deep_learning_paper_implementations · tensorpack/tensorpack · facebookresearch/Horizon · +70 2015
17 Rainbow 12629.0 Rainbow: Combining Improvements in Deep Reinforcement Learning thu-ml/tianshou · facebookresearch/ReAgent · facebookresearch/Horizon · +31 2017
18 Prior+Duel hs 8978.0 Deep Reinforcement Learning with Double Q-learning labmlai/annotated_deep_learning_paper_implementations · tensorpack/tensorpack · hill-a/stable-baselines · +94 2015
19 Duel noop 6427.3 Dueling Network Architectures for Deep Reinforcement Learning labmlai/annotated_deep_learning_paper_implementations · tensorpack/tensorpack · facebookresearch/Horizon · +70 2015
20 Duel hs 5993.1 Dueling Network Architectures for Deep Reinforcement Learning labmlai/annotated_deep_learning_paper_implementations · tensorpack/tensorpack · facebookresearch/Horizon · +70 2015
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