Atari Games On Atari 2600 Bank Heist

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이 벤치마크에서 각 모델의 성능 결과

모델 이름	Score	Paper Title	Repository
Prior+Duel hs	1004.6	Deep Reinforcement Learning with Double Q-learning
Rainbow+SEER	276.6	Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
NoisyNet-Dueling	1318	Noisy Networks for Exploration
MuZero (Res2 Adam)	27219.8	Online and Offline Reinforcement Learning by Planning with a Learned Model
Best Learner	190.8	The Arcade Learning Environment: An Evaluation Platform for General Agents
DNA	1286	DNA: Proximal Policy Optimization with a Dual Network Architecture
DDQN (tuned) noop	1030.6	Dueling Network Architectures for Deep Reinforcement Learning
Gorila	399.4	Massively Parallel Methods for Deep Reinforcement Learning
DQN hs	312.7	Deep Reinforcement Learning with Double Q-learning
Duel hs	1129.3	Dueling Network Architectures for Deep Reinforcement Learning
POP3D	1212.23	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
DreamerV2	1126	Mastering Atari with Discrete World Models
DDQN+Pop-Art noop	1103.3	Learning values across many orders of magnitude	-
SARSA	67.4	-	-
DDQN (tuned) hs	886.0	Deep Reinforcement Learning with Double Q-learning
Bootstrapped DQN	1208	Deep Exploration via Bootstrapped DQN
Advantage Learning	633.63	Increasing the Action Gap: New Operators for Reinforcement Learning
CURL	193.7	CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Discrete Latent Space World Model (VQ-VAE)	121.6	Smaller World Models for Reinforcement Learning	-
IQN	1416	Implicit Quantile Networks for Distributional Reinforcement Learning

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