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이 벤치마크에서 각 모델의 성능 결과

모델 이름	Score	Paper Title	Repository
IQN	978200	Implicit Quantile Networks for Distributional Reinforcement Learning
C51 noop	841075.0	A Distributional Perspective on Reinforcement Learning
DDQN (tuned) noop	106056.0	Dueling Network Architectures for Deep Reinforcement Learning
Duel noop	382572.0	Dueling Network Architectures for Deep Reinforcement Learning
NoisyNet-Dueling	972175	Noisy Networks for Exploration
Ape-X	944497.5	Distributed Prioritized Experience Replay
Prior noop	357324.0	Prioritized Experience Replay
GDI-I3	3803000	Generalized Data Distribution Iteration	-
Persistent AL	1465250	Increasing the Action Gap: New Operators for Reinforcement Learning
UCT	193858	The Arcade Learning Environment: An Evaluation Platform for General Agents
Bootstrapped DQN	994500	Deep Exploration via Bootstrapped DQN
ASL DDQN	947275	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity	-
A3C LSTM hs	875822.0	Asynchronous Methods for Deep Reinforcement Learning
QR-DQN-1	971850	Distributional Reinforcement Learning with Quantile Regression
ES FF (1 hour) noop	1267410.0	Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Nature DQN	85641.0	Human level control through deep reinforcement learning
Advantage Learning	553591.67	Increasing the Action Gap: New Operators for Reinforcement Learning
DDQN (tuned) hs	319688.0	Deep Reinforcement Learning with Double Q-learning
Agent57	1528841.76	Agent57: Outperforming the Atari Human Benchmark
POP3D	2193605.67	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization

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