Atari Games On Atari 2600 Beam Rider

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
A3C LSTM hs	24622.2	Asynchronous Methods for Deep Reinforcement Learning	-
Prior noop	23384.2	Prioritized Experience Replay	-
IMPALA (deep)	32463.47	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	-
DQN hs	9743.2	Deep Reinforcement Learning with Double Q-learning	-
DDQN+Pop-Art noop	8299.4	Learning values across many orders of magnitude	-
Duel noop	12164.0	Dueling Network Architectures for Deep Reinforcement Learning	-
Nature DQN	6846.0	Human level control through deep reinforcement learning
POP3D	4549	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization	-
Best Learner	929.4	The Arcade Learning Environment: An Evaluation Platform for General Agents	-
DQN Best	5184	Playing Atari with Deep Reinforcement Learning	-
SARSA	1743.0	-	-
DreamerV2	18646	Mastering Atari with Discrete World Models	-
Gorila	3822.1	Massively Parallel Methods for Deep Reinforcement Learning	-
RIMs-PPO	5320	Recurrent Independent Mechanisms	-
Prior+Duel noop	30276.5	Dueling Network Architectures for Deep Reinforcement Learning	-
A3C FF (1 day) hs	13235.9	Asynchronous Methods for Deep Reinforcement Learning	-
CGP	1341.6	Evolving simple programs for playing Atari games	-
UCT	6624.6	The Arcade Learning Environment: An Evaluation Platform for General Agents	-
IQ-Learn	-	IQ-Learn: Inverse soft-Q Learning for Imitation	-
MuZero (Res2 Adam)	333077.44	Online and Offline Reinforcement Learning by Planning with a Learned Model	-

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