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Atari Games On Atari 2600 Road Runner

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name
Score
Paper TitleRepository
CURL6786.7CURL: Contrastive Unsupervised Representations for Reinforcement Learning-
MuZero613411.80Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model-
R2D2599246.7Recurrent Experience Replay in Distributed Reinforcement Learning-
QR-DQN-164262Distributional Reinforcement Learning with Quantile Regression-
C51 noop55839.0A Distributional Perspective on Reinforcement Learning-
IMPALA (deep)57121.00IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures-
Duel hs58549.0Dueling Network Architectures for Deep Reinforcement Learning-
A2C + SIL57071.7Self-Imitation Learning-
Agent57243025.8Agent57: Outperforming the Atari Human Benchmark-
IQN57900Implicit Quantile Networks for Distributional Reinforcement Learning-
DQN hs35215.0Deep Reinforcement Learning with Double Q-learning-
GDI-H3999999Generalized Data Distribution Iteration-
Best Learner67.7The Arcade Learning Environment: An Evaluation Platform for General Agents-
Prior+Duel hs54630.0Deep Reinforcement Learning with Double Q-learning-
DDQN (tuned) hs43156.0Deep Reinforcement Learning with Double Q-learning-
GDI-I3878600Generalized Data Distribution Iteration-
Duel noop69524.0Dueling Network Architectures for Deep Reinforcement Learning-
DNA61713DNA: Proximal Policy Optimization with a Dual Network Architecture-
SAC305.3Soft Actor-Critic for Discrete Action Settings-
ASL DDQN56520Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity-
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Atari Games On Atari 2600 Road Runner | SOTA | HyperAI