Atari Games On Atari 2600 Krull

评估指标

Score

评测结果

各个模型在此基准测试上的表现结果

模型名称	Score	Paper Title	Repository
Rainbow+SEER	3277.5	Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings	-
GDI-I3	97575	GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning	-
VPN	15930	Value Prediction Network	-
Prior hs	6872.8	Prioritized Experience Replay	-
NoisyNet-Dueling	10754	Noisy Networks for Exploration	-
Gorila	6363.1	Massively Parallel Methods for Deep Reinforcement Learning	-
Prior+Duel noop	10374.4	Dueling Network Architectures for Deep Reinforcement Learning	-
CGP	9086.8	Evolving simple programs for playing Atari games	-
Prior+Duel hs	7658.6	Deep Reinforcement Learning with Double Q-learning	-
A3C FF hs	5560.0	Asynchronous Methods for Deep Reinforcement Learning	-
Duel hs	8051.6	Dueling Network Architectures for Deep Reinforcement Learning	-
Duel noop	11451.9	Dueling Network Architectures for Deep Reinforcement Learning	-
Best Learner	3371.5	The Arcade Learning Environment: An Evaluation Platform for General Agents	-
DreamerV2	50061	Mastering Atari with Discrete World Models	-
Persistent AL	8689.81	Increasing the Action Gap: New Operators for Reinforcement Learning	-
A3C LSTM hs	5911.4	Asynchronous Methods for Deep Reinforcement Learning	-
DQN noop	8422.3	Deep Reinforcement Learning with Double Q-learning	-
GDI-H3	594540	Generalized Data Distribution Iteration	-
ASL DDQN	10422.5	Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity	-
MuZero	269358.27	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model	-

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