Atari Games On Atari 2600 River Raid

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

模型名称
Score
Paper TitleRepository
A3C LSTM hs6591.9Asynchronous Methods for Deep Reinforcement Learning-
GDI-I328075Generalized Data Distribution Iteration-
Duel noop21162.6Dueling Network Architectures for Deep Reinforcement Learning-
Gorila5310.3Massively Parallel Methods for Deep Reinforcement Learning-
Nature DQN8316.0Human level control through deep reinforcement learning
MuZero323417.18Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model-
C51 noop17322.0A Distributional Perspective on Reinforcement Learning-
DDQN+Pop-Art noop12530.8Learning values across many orders of magnitude-
DQN hs4748.5Deep Reinforcement Learning with Double Q-learning-
UCT4449The Arcade Learning Environment: An Evaluation Platform for General Agents-
DDQN (tuned) noop14884.5Dueling Network Architectures for Deep Reinforcement Learning-
Prior+Duel noop20607.6Dueling Network Architectures for Deep Reinforcement Learning-
DNA16789DNA: Proximal Policy Optimization with a Dual Network Architecture-
A3C FF hs12201.8Asynchronous Methods for Deep Reinforcement Learning-
R2D245632.1Recurrent Experience Replay in Distributed Reinforcement Learning-
A3C FF (1 day) hs10001.2Asynchronous Methods for Deep Reinforcement Learning-
DDQN (tuned) hs10838.4Deep Reinforcement Learning with Double Q-learning-
FQF23560.7Fully Parameterized Quantile Function for Distributional Reinforcement Learning-
GDI-H328349Generalized Data Distribution Iteration-
ES FF (1 hour) noop5009.0Evolution Strategies as a Scalable Alternative to Reinforcement Learning-
0 of 41 row(s) selected.
Atari Games On Atari 2600 River Raid | SOTA | HyperAI超神经