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Atari Games On Atari 2600 James Bond

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name
Score
Paper TitleRepository
Duel noop1312.5Dueling Network Architectures for Deep Reinforcement Learning-
Prior hs3961.0Prioritized Experience Replay-
Rational DQN Average1122Adaptive Rational Activations to Boost Deep Reinforcement Learning-
R2D225354.0Recurrent Experience Replay in Distributed Reinforcement Learning-
DreamerV240445Mastering Atari with Discrete World Models-
Recurrent Rational DQN Average1137Adaptive Rational Activations to Boost Deep Reinforcement Learning-
CGP6130Evolving simple programs for playing Atari games-
Duel hs835.5Dueling Network Architectures for Deep Reinforcement Learning-
Prior noop5148.0Prioritized Experience Replay-
Best Learner202.8The Arcade Learning Environment: An Evaluation Platform for General Agents-
GDI-I3594500Generalized Data Distribution Iteration-
A2C + SIL310.8Self-Imitation Learning-
Ape-X21322.5Distributed Prioritized Experience Replay-
IQN35108Implicit Quantile Networks for Distributional Reinforcement Learning
DNA14102DNA: Proximal Policy Optimization with a Dual Network Architecture-
Agent57135784.96Agent57: Outperforming the Atari Human Benchmark-
Prior+Duel noop812.0Dueling Network Architectures for Deep Reinforcement Learning-
IMPALA (deep)601.50IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures-
SAC68.3Soft Actor-Critic for Discrete Action Settings-
GDI-I3594500GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning-
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