Atari Games On Atari 2600 Seaquest

评估指标

Score

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
GDI-H31000000Generalized Data Distribution Iteration-
GDI-H3(200M frames)1000000Generalized Data Distribution Iteration-
Agent57999997.63Agent57: Outperforming the Atari Human Benchmark
R2D2999996.7Recurrent Experience Replay in Distributed Reinforcement Learning-
MuZero999976.52Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
MuZero (Res2 Adam)999659.18Online and Offline Reinforcement Learning by Planning with a Learned Model
GDI-I3943910Generalized Data Distribution Iteration-
GDI-I3943910GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning-
Ape-X392952.3Distributed Prioritized Experience Replay
C51 noop266434.0A Distributional Perspective on Reinforcement Learning
Duel noop50254.2Dueling Network Architectures for Deep Reinforcement Learning
Duel hs37361.6Dueling Network Architectures for Deep Reinforcement Learning
IQN30140Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN29278.6Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Prior noop26357.8Prioritized Experience Replay
Prior hs25463.7Prioritized Experience Replay
NoisyNet-Dueling16754Noisy Networks for Exploration
DDQN (tuned) noop16452.7Dueling Network Architectures for Deep Reinforcement Learning
DDQN (tuned) hs14498.0Deep Reinforcement Learning with Double Q-learning
Persistent AL13230.74Increasing the Action Gap: New Operators for Reinforcement Learning
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Atari Games On Atari 2600 Seaquest | SOTA | HyperAI超神经