paper-with-me

Atari Games 벤치마크

Atari Games on Atari 2600 Berzerk

78개 결과 · ⬇ CSV · JSON

Score

493.4 4.971e+04 9.893e+04 1.482e+05 1.974e+05 2012-07 2026-09 Best Baseline — 670.0 (2012-07-19) Best Learner — 501.3 (2012-07-19) Best Baseline — 670.0 (2012-07-19) Best Learner — 501.3 (2012-07-19) Prior+Duel hs — 2178.6 (2015-09-22) DDQN (tuned) hs — 1011.1 (2015-09-22) DQN noop — 585.6 (2015-09-22) DQN hs — 493.4 (2015-09-22) Prior+Duel hs — 2178.6 (2015-09-22) DDQN (tuned) hs — 1011.1 (2015-09-22) DQN noop — 585.6 (2015-09-22) DQN hs — 493.4 (2015-09-22) Prior noop — 1305.6 (2015-11-18) Prior hs — 865.9 (2015-11-18) Prior noop — 1305.6 (2015-11-18) Prior hs — 865.9 (2015-11-18) Prior+Duel noop — 3409.0 (2015-11-20) Duel noop — 1472.6 (2015-11-20) DDQN (tuned) noop — 1225.4 (2015-11-20) Duel hs — 910.6 (2015-11-20) Prior+Duel noop — 3409.0 (2015-11-20) Duel noop — 1472.6 (2015-11-20) DDQN (tuned) noop — 1225.4 (2015-11-20) Duel hs — 910.6 (2015-11-20) Persistent AL — 1328.25 (2015-12-15) Advantage Learning — 747.26 (2015-12-15) Persistent AL — 1328.25 (2015-12-15) Advantage Learning — 747.26 (2015-12-15) A3C FF (1 day) hs — 1433.4 (2016-02-04) A3C LSTM hs — 862.2 (2016-02-04) A3C FF hs — 817.9 (2016-02-04) A3C FF (1 day) hs — 1433.4 (2016-02-04) A3C LSTM hs — 862.2 (2016-02-04) A3C FF hs — 817.9 (2016-02-04) DDQN+Pop-Art noop — 1199.6 (2016-02-24) DDQN+Pop-Art noop — 1199.6 (2016-02-24) ES FF (1 hour) noop — 686.0 (2017-03-10) ES FF (1 hour) noop — 686.0 (2017-03-10) Reactor 500M — 2303.1 (2017-04-15) Reactor 500M — 2303.1 (2017-04-15) NoisyNet-Dueling — 1896.0 (2017-06-30) NoisyNet-Dueling — 1896.0 (2017-06-30) C51 noop — 1645.0 (2017-07-21) C51 noop — 1645.0 (2017-07-21) QR-DQN-1 — 3117.0 (2017-10-27) QR-DQN-1 — 3117.0 (2017-10-27) IMPALA (deep) — 1852.7 (2018-02-05) IMPALA (deep) — 1852.7 (2018-02-05) Ape-X — 57196.7 (2018-03-02) Ape-X — 57196.7 (2018-03-02) CGP — 1138.0 (2018-06-14) IQN — 1053.0 (2018-06-14) CGP — 1138.0 (2018-06-14) IQN — 1053.0 (2018-06-14) R2D2 — 53318.7 (2019-05-01) R2D2 — 53318.7 (2019-05-01) FQF — 12422.2 (2019-11-05) FQF — 12422.2 (2019-11-05) MuZero — 85932.6 (2019-11-19) MuZero — 85932.6 (2019-11-19) Agent57 — 61507.83 (2020-03-30) Agent57 — 61507.83 (2020-03-30) Go-Explore — 197376.0 (2020-04-27) Go-Explore — 197376.0 (2020-04-27) DreamerV2 — 810.0 (2020-10-05) DreamerV2 — 810.0 (2020-10-05) MuZero (Res2 Adam) — 2705.82 (2021-04-13) MuZero (Res2 Adam) — 2705.82 (2021-04-13) GDI-I3 — 7607.0 (2021-06-11) GDI-I3 — 7607.0 (2021-06-11) GDI-H3 — 14649.0 (2022-06-07) GDI-I3 — 7607.0 (2022-06-07) GDI-H3 — 14649.0 (2022-06-07) GDI-I3 — 7607.0 (2022-06-07) DNA — 19789.0 (2022-06-20) DNA — 19789.0 (2022-06-20) ASL DDQN — 2597.2 (2023-05-07) ASL DDQN — 2597.2 (2023-05-07) Best Baseline — 670.0 (2012-07-19) Prior+Duel hs — 2178.6 (2015-09-22) Prior+Duel noop — 3409.0 (2015-11-20) Ape-X — 57196.7 (2018-03-02) MuZero — 85932.6 (2019-11-19) Go-Explore — 197376.0 (2020-04-27)
RankModel Score PaperCodeYear
1 Go-Explore 197376 First return, then explore uber-research/go-explore · qgallouedec/lge 2020
2 MuZero 85932.60 Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model werner-duvaud/muzero-general · opendilab/LightZero · koulanurag/muzero-pytorch · +15 2019
3 Agent57 61507.83 Agent57: Outperforming the Atari Human Benchmark michaelnny/deep_rl_zoo · pocokhc/agent57 · yuta0821/agent57_pytorch · +2 2020
4 Ape-X 57196.7 Distributed Prioritized Experience Replay ray-project/ray · vwxyzjn/cleanrl · opendilab/DI-engine · +12 2018
5 R2D2 53318.7 Recurrent Experience Replay in Distributed Reinforcement Learning opendilab/DI-engine · michaelnny/deep_rl_zoo · garymm/earl 2019
6 DNA 19789 DNA: Proximal Policy Optimization with a Dual Network Architecture maitchison/PPO 2022
7 GDI-H3 14649 Generalized Data Distribution Iteration 2022
8 FQF 12422.2 Fully Parameterized Quantile Function for Distributional Reinforcement Learning opendilab/DI-engine · ku2482/fqf-iqn-qrdqn.pytorch · ku2482/rljax · +3 2019
9 GDI-I3 7607 GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning 2021
9 GDI-I3 7607 Generalized Data Distribution Iteration 2022
11 Prior+Duel noop 3409.0 Dueling Network Architectures for Deep Reinforcement Learning labmlai/annotated_deep_learning_paper_implementations · tensorpack/tensorpack · facebookresearch/Horizon · +70 2015
12 QR-DQN-1 3117 Distributional Reinforcement Learning with Quantile Regression DLR-RM/stable-baselines3 · facebookresearch/Horizon · facebookresearch/ReAgent · +14 2017
13 MuZero (Res2 Adam) 2705.82 Online and Offline Reinforcement Learning by Planning with a Learned Model DHDev0/Muzero-unplugged · enpasos/muzero 2021
14 ASL DDQN 2597.2 Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity xinjinghao/color 2023
15 Reactor 500M 2303.1 The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning 2017
16 Prior+Duel hs 2178.6 Deep Reinforcement Learning with Double Q-learning labmlai/annotated_deep_learning_paper_implementations · tensorpack/tensorpack · hill-a/stable-baselines · +94 2015
17 NoisyNet-Dueling 1896 Noisy Networks for Exploration opendilab/DI-engine · Curt-Park/rainbow-is-all-you-need · chainer/chainerrl · +12 2017
18 IMPALA (deep) 1852.70 IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ray-project/ray · opendilab/DI-engine · deepmind/haiku · +21 2018
19 C51 noop 1645.0 A Distributional Perspective on Reinforcement Learning facebookresearch/Horizon · facebookresearch/ReAgent · opendilab/DI-engine · +19 2017
20 Duel noop 1472.6 Dueling Network Architectures for Deep Reinforcement Learning labmlai/annotated_deep_learning_paper_implementations · tensorpack/tensorpack · facebookresearch/Horizon · +70 2015
1–20 / 78 다음 → 페이지당 10 20 50 100