Atari Games On Atari 2600 Time Pilot

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
Advantage Learning	8969.12	Increasing the Action Gap: New Operators for Reinforcement Learning
A3C FF hs	12679.0	Asynchronous Methods for Deep Reinforcement Learning
Best Learner	3741.2	The Arcade Learning Environment: An Evaluation Platform for General Agents
GDI-I3	216770	Generalized Data Distribution Iteration	-
NoisyNet-Dueling	17301	Noisy Networks for Exploration
DDQN (tuned) noop	8339.0	Dueling Network Architectures for Deep Reinforcement Learning
Duel noop	11666.0	Dueling Network Architectures for Deep Reinforcement Learning
POP3D	3770.33	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
Nature DQN	5947.0	Human level control through deep reinforcement learning
QR-DQN-1	10345	Distributional Reinforcement Learning with Quantile Regression
DNA	12774	DNA: Proximal Policy Optimization with a Dual Network Architecture
Rational DQN Average	17632	Adaptive Rational Activations to Boost Deep Reinforcement Learning
MuZero	476763.90	Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
UCT	63854.5	The Arcade Learning Environment: An Evaluation Platform for General Agents
ES FF (1 hour) noop	4970.0	Evolution Strategies as a Scalable Alternative to Reinforcement Learning
IDVQ + DRSC + XNES	4600	Playing Atari with Six Neurons
Bootstrapped DQN	9079.4	Deep Exploration via Bootstrapped DQN
R2D2	445377.3	Recurrent Experience Replay in Distributed Reinforcement Learning	-
DDQN+Pop-Art noop	4870.0	Learning values across many orders of magnitude	-
CGP	12040	Evolving simple programs for playing Atari games

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