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Atari Games On Atari 2600 Zaxxon

Metrics

Score

Results

Performance results of various models on this benchmark

Paper TitleRepository
MuZero725853.90Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Agent57249808.9Agent57: Outperforming the Atari Human Benchmark
R2D2224910.7Recurrent Experience Replay in Distributed Reinforcement Learning-
GDI-H3216020Generalized Data Distribution Iteration-
MuZero (Res2 Adam)154131.86Online and Offline Reinforcement Learning by Planning with a Learned Model
GDI-I3109140Generalized Data Distribution Iteration-
DreamerV250699Mastering Atari with Discrete World Models
Ape-X42285.5Distributed Prioritized Experience Replay
IMPALA (deep)32935.50IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
A3C FF hs24622.0Asynchronous Methods for Deep Reinforcement Learning
A3C LSTM hs23519.0Asynchronous Methods for Deep Reinforcement Learning
UCT22610The Arcade Learning Environment: An Evaluation Platform for General Agents
DNA22588DNA: Proximal Policy Optimization with a Dual Network Architecture
IQN21772Implicit Quantile Networks for Distributional Reinforcement Learning
ASL DDQN16420Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
RIMs-PPO15000Recurrent Independent Mechanisms
NoisyNet-Dueling14874Noisy Networks for Exploration
DDQN+Pop-Art noop14402.0Learning values across many orders of magnitude-
Prior+Duel noop13886.0Dueling Network Architectures for Deep Reinforcement Learning
QR-DQN-113112Distributional Reinforcement Learning with Quantile Regression
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Atari Games On Atari 2600 Zaxxon | SOTA | HyperAI