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Atari Games On Atari 2600 Up And Down

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name
Score
Paper TitleRepository
QR-DQN-171260Distributional Reinforcement Learning with Quantile Regression-
Best Learner3532.7The Arcade Learning Environment: An Evaluation Platform for General Agents-
ES FF (1 hour) noop67974.0Evolution Strategies as a Scalable Alternative to Reinforcement Learning-
SAC250.7Soft Actor-Critic for Discrete Action Settings-
DQN noop9989.9Deep Reinforcement Learning with Double Q-learning-
IQN88148Implicit Quantile Networks for Distributional Reinforcement Learning-
DDQN (tuned) noop22972.2Dueling Network Architectures for Deep Reinforcement Learning-
A3C FF hs74705.7Asynchronous Methods for Deep Reinforcement Learning-
MuZero715545.61Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model-
POP3D242701.51Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization-
IMPALA (deep)332546.75IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures-
Nature DQN8456.0Human level control through deep reinforcement learning
A3C FF (1 day) hs54525.4Asynchronous Methods for Deep Reinforcement Learning-
A3C LSTM hs105728.7Asynchronous Methods for Deep Reinforcement Learning-
A2C + SIL53314.6Self-Imitation Learning-
DreamerV2653662Mastering Atari with Discrete World Models-
Advantage Learning13909.74Increasing the Action Gap: New Operators for Reinforcement Learning-
CGP14524Evolving simple programs for playing Atari games-
Duel noop44939.6Dueling Network Architectures for Deep Reinforcement Learning-
R2D2589226.9Recurrent Experience Replay in Distributed Reinforcement Learning-
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Atari Games On Atari 2600 Up And Down | SOTA | HyperAI