paper-with-me

Atari Games 벤치마크

Atari Games on Atari 2600 Pitfall!

46개 결과 · ⬇ CSV · JSON

Score

-4.345 2.564e+04 5.128e+04 7.693e+04 1.026e+05 2015-12 2026-11 Advantage Learning — 0.0 (2015-12-15) Advantage Learning — 0.0 (2015-12-15) NoisyNet-Dueling — 0.0 (2017-06-30) NoisyNet-Dueling — 0.0 (2017-06-30) QR-DQN-1 — 0.0 (2017-10-27) QR-DQN-1 — 0.0 (2017-10-27) IMPALA (deep) — -1.66 (2018-02-05) IMPALA (deep) — -1.66 (2018-02-05) Ape-X — -0.6 (2018-03-02) Ape-X — -0.6 (2018-03-02) IQN — 0.0 (2018-06-14) CGP — 0.0 (2018-06-14) IQN — 0.0 (2018-06-14) CGP — 0.0 (2018-06-14) POP3D — 0.0 (2018-07-02) POP3D — 0.0 (2018-07-02) RND — -3.0 (2018-10-30) RND — -3.0 (2018-10-30) Go-Explore — 102571.0 (2019-01-30) Go-Explore — 102571.0 (2019-01-30) R2D2 — 0.0 (2019-05-01) R2D2 — 0.0 (2019-05-01) MuZero — 0.0 (2019-11-19) MuZero — 0.0 (2019-11-19) Agent57 — 18756.01 (2020-03-30) Agent57 — 18756.01 (2020-03-30) Go-Explore — 6954.0 (2020-04-27) Go-Explore — 6954.0 (2020-04-27) DreamerV2 — 0.0 (2020-10-05) DreamerV2 — 0.0 (2020-10-05) MuZero (Res2 Adam) — 0.0 (2021-04-13) MuZero (Res2 Adam) — 0.0 (2021-04-13) GDI-I3 — 0.0 (2021-06-11) GDI-I3 — 0.0 (2021-06-11) GDI-I3 — 0.0 (2022-06-07) GDI-H3 — -4.345 (2022-06-07) GDI-I3 — 0.0 (2022-06-07) GDI-H3 — -4.345 (2022-06-07) DNA — 0.0 (2022-06-20) DNA — 0.0 (2022-06-20) SND-V — 0.0 (2023-02-22) SND-VIC — 0.0 (2023-02-22) SND-V — 0.0 (2023-02-22) SND-VIC — 0.0 (2023-02-22) ASL DDQN — 0.0 (2023-05-07) ASL DDQN — 0.0 (2023-05-07) Advantage Learning — 0.0 (2015-12-15) Go-Explore — 102571.0 (2019-01-30)
RankModel Score Extra Training Data PaperCodeYear
1 Go-Explore 102571 ✓ Go-Explore: a New Approach for Hard-Exploration Problems uber-research/go-explore · Adeikalam/Go-Explore · Dorozhko-Anton/go-explore 2019
2 Agent57 18756.01 Agent57: Outperforming the Atari Human Benchmark michaelnny/deep_rl_zoo · pocokhc/agent57 · yuta0821/agent57_pytorch · +2 2020
3 Go-Explore 6954 First return, then explore uber-research/go-explore · qgallouedec/lge 2020
4 IQN 0 Implicit Quantile Networks for Distributional Reinforcement Learning opendilab/DI-engine · chainer/chainerrl · Kchu/DeepRL_CK · +16 2018
4 MuZero 0.00 Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model werner-duvaud/muzero-general · opendilab/LightZero · koulanurag/muzero-pytorch · +15 2019
4 R2D2 0.0 Recurrent Experience Replay in Distributed Reinforcement Learning opendilab/DI-engine · michaelnny/deep_rl_zoo · garymm/earl 2019
4 CGP 0 Evolving simple programs for playing Atari games ShuhuaGao/gpFlappyBird · JacobLaney/cgp-tetris 2018
4 NoisyNet-Dueling 0 Noisy Networks for Exploration opendilab/DI-engine · Curt-Park/rainbow-is-all-you-need · chainer/chainerrl · +12 2017
4 POP3D 0 Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization cxxgtxy/POP3D · paperwithcode/pop3d 2018
4 Advantage Learning 0 Increasing the Action Gap: New Operators for Reinforcement Learning janhuenermann/neurojs · chainer/chainerrl 2015
4 QR-DQN-1 0 Distributional Reinforcement Learning with Quantile Regression DLR-RM/stable-baselines3 · facebookresearch/Horizon · facebookresearch/ReAgent · +14 2017
4 DreamerV2 0 Mastering Atari with Discrete World Models opendilab/DI-engine · danijar/dreamerv2 · andrejorsula/drl_grasping · +6 2020
4 MuZero (Res2 Adam) 0 Online and Offline Reinforcement Learning by Planning with a Learned Model DHDev0/Muzero-unplugged · enpasos/muzero 2021
4 GDI-I3 0 GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning 2021
4 GDI-I3 0 Generalized Data Distribution Iteration 2022
4 DNA 0 DNA: Proximal Policy Optimization with a Dual Network Architecture maitchison/PPO 2022
4 SND-V 0 Self-supervised network distillation: an effective approach to exploration in sparse reward environments iskandor/snd · michalnand/reinforcement_learning 2023
4 SND-VIC 0 Self-supervised network distillation: an effective approach to exploration in sparse reward environments iskandor/snd · michalnand/reinforcement_learning 2023
4 ASL DDQN 0 Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity xinjinghao/color 2023
20 RND -3 Exploration by Random Network Distillation opendilab/DI-engine · openai/random-network-distillation · rle-foundation/rlexplore · +19 2018
1–20 / 46 다음 → 페이지당 10 20 50 100