Atari Games On Atari 2600 Time Pilot

Metrics

Score

Results

Performance results of various models on this benchmark

Model Name	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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