Atari Games On Atari 2600 Assault

Score

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	Score	Paper Title	Repository
Reactor 500M	8323.3	The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning	-
Bootstrapped DQN	8047.1	Deep Exploration via Bootstrapped DQN
CGP	890.4	Evolving simple programs for playing Atari games
Ape-X	24559.4	Distributed Prioritized Experience Replay
A3C LSTM hs	14497.9	Asynchronous Methods for Deep Reinforcement Learning
DQN noop	4280.4	Deep Reinforcement Learning with Double Q-learning
A3C FF hs	5474.9	Asynchronous Methods for Deep Reinforcement Learning
Agent57	67212.67	Agent57: Outperforming the Atari Human Benchmark
Prior+Duel noop	11477.0	Dueling Network Architectures for Deep Reinforcement Learning
Prior+Duel hs	10950.6	Dueling Network Architectures for Deep Reinforcement Learning
Gorila	1195.8	Massively Parallel Methods for Deep Reinforcement Learning
SAC	350	Soft Actor-Critic for Discrete Action Settings
Advantage Learning	3661.51	Increasing the Action Gap: New Operators for Reinforcement Learning
DDQN (tuned) hs	6060.8	Deep Reinforcement Learning with Double Q-learning
Prior+Duel hs	10950.6	Deep Reinforcement Learning with Double Q-learning
Persistent AL	3304.33	Increasing the Action Gap: New Operators for Reinforcement Learning
C51 noop	7203.0	A Distributional Perspective on Reinforcement Learning
DDQN (tuned) noop	5393.2	Dueling Network Architectures for Deep Reinforcement Learning
Duel noop	4621.0	Dueling Network Architectures for Deep Reinforcement Learning
Duel hs	3994.8	Dueling Network Architectures for Deep Reinforcement Learning

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