HyperAIHyperAI

Atari Games On Atari 2600 Chopper Command

المقاييس

Score

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
Score
Paper TitleRepository
A2C + SIL6710Self-Imitation Learning-
Advantage Learning5431.36Increasing the Action Gap: New Operators for Reinforcement Learning-
GDI-H3999999GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning-
CGP3580Evolving simple programs for playing Atari games-
Prior hs4635.0Prioritized Experience Replay-
NoisyNet-Dueling11477Noisy Networks for Exploration-
R2D2986652.0Recurrent Experience Replay in Distributed Reinforcement Learning-
POP3D6308.33Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization-
Ape-X721851Distributed Prioritized Experience Replay-
DQN noop6126.0Deep Reinforcement Learning with Double Q-learning-
Prior+Duel hs8058.0Deep Reinforcement Learning with Double Q-learning-
DQN hs5017.0Deep Reinforcement Learning with Double Q-learning-
MuZero991039.70Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model-
IQN16836Implicit Quantile Networks for Distributional Reinforcement Learning-
Gorila3191.8Massively Parallel Methods for Deep Reinforcement Learning-
Reactor 500M107779.0The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning-
DNA31181DNA: Proximal Policy Optimization with a Dual Network Architecture-
FQF876460.0Fully Parameterized Quantile Function for Distributional Reinforcement Learning-
A3C LSTM hs10150.0Asynchronous Methods for Deep Reinforcement Learning-
C51 noop15600.0A Distributional Perspective on Reinforcement Learning-
0 of 45 row(s) selected.