Atari Games On Atari 2600 Double Dunk

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이 벤치마크에서 각 모델의 성능 결과

모델 이름	Score	Paper Title	Repository
QR-DQN-1	21.9	Distributional Reinforcement Learning with Quantile Regression
MuZero	23.94	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
A2C + SIL	21.5	Self-Imitation Learning
Duel noop	0.1	Dueling Network Architectures for Deep Reinforcement Learning
Gorila	-11.3	Massively Parallel Methods for Deep Reinforcement Learning
IQN	5.6	Implicit Quantile Networks for Distributional Reinforcement Learning
Prior+Duel noop	-12.5	Dueling Network Architectures for Deep Reinforcement Learning
DDQN (tuned) hs	-0.3	Deep Reinforcement Learning with Double Q-learning
IMPALA (deep)	-0.33	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
GDI-I3	24	Generalized Data Distribution Iteration	-
Prior noop	18.5	Prioritized Experience Replay
DreamerV2	17	Mastering Atari with Discrete World Models
Prior+Duel hs	-10.7	Deep Reinforcement Learning with Double Q-learning
DQN noop	-6.6	Deep Reinforcement Learning with Double Q-learning
UCT	24	The Arcade Learning Environment: An Evaluation Platform for General Agents
DDQN+Pop-Art noop	-11.5	Learning values across many orders of magnitude	-
A3C FF (1 day) hs	0.1	Asynchronous Methods for Deep Reinforcement Learning
Nature DQN	-18.1	Human level control through deep reinforcement learning
SARSA	-16.0	-	-
DDQN (tuned) noop	-5.5	Dueling Network Architectures for Deep Reinforcement Learning

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