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Atari Games On Atari 2600 River Raid

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name
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-
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