HyperAI

Atari Games On Atari 2600 Amidar

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name
Score
Paper TitleRepository
VPN641Value Prediction Network
R2D229321.4Recurrent Experience Replay in Distributed Reinforcement Learning-
A3C FF (1 day) hs283.9Asynchronous Methods for Deep Reinforcement Learning
GDI-I31442Generalized Data Distribution Iteration-
CURL232.3CURL: Contrastive Unsupervised Representations for Reinforcement Learning
DreamerV22577Mastering Atari with Discrete World Models
Nature DQN739.5Human level control through deep reinforcement learning
Ape-X8659.2Distributed Prioritized Experience Replay
Prior+Duel hs238.4Dueling Network Architectures for Deep Reinforcement Learning
Prior+Duel hs238.4Deep Reinforcement Learning with Double Q-learning
POP3D729.15Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
DQN noop978.0Deep Reinforcement Learning with Double Q-learning
Rainbow+SEER250.5Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
A2C + SIL1362Self-Imitation Learning
Reactor 500M1015.8The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning-
C51 noop1735.0A Distributional Perspective on Reinforcement Learning
ASL DDQN2232.3Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity-
Agent5729660.08Agent57: Outperforming the Atari Human Benchmark
QR-DQN-11641Distributional Reinforcement Learning with Quantile Regression
Persistent AL1451.65Increasing the Action Gap: New Operators for Reinforcement Learning
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