Atari Games On Atari 2600 Freeway

Score

Results

Performance results of various models on this benchmark

Model Name	Score	Paper Title	Repository
A3C FF (1 day) hs	0.1	Asynchronous Methods for Deep Reinforcement Learning	-
Bootstrapped DQN	33.9	Deep Exploration via Bootstrapped DQN	-
SAC	4.4	Soft Actor-Critic for Discrete Action Settings	-
Duel noop	0.0	Dueling Network Architectures for Deep Reinforcement Learning	-
Duel hs	0.2	Dueling Network Architectures for Deep Reinforcement Learning	-
A3C FF hs	0.1	Asynchronous Methods for Deep Reinforcement Learning	-
Intrinsic Reward Agent	32.8	Large-Scale Study of Curiosity-Driven Learning	-
POP3D	21.21	Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization	-
Gorila	10.2	Massively Parallel Methods for Deep Reinforcement Learning	-
Discrete Latent Space World Model (VQ-VAE)	29	Smaller World Models for Reinforcement Learning	-
Go-Explore	34	First return, then explore	-
Prior hs	28.9	Prioritized Experience Replay	-
DQN-PixelCNN	31.7	Count-Based Exploration with Neural Density Models	-
Ape-X	33.7	Distributed Prioritized Experience Replay	-
DDQN+Pop-Art noop	33.4	Learning values across many orders of magnitude	-
Sarsa-φ-EB	0.0	Count-Based Exploration in Feature Space for Reinforcement Learning	-
ES FF (1 hour) noop	31.0	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	-
Advantage Learning	31.72	Increasing the Action Gap: New Operators for Reinforcement Learning	-
R2D2	32.5	Recurrent Experience Replay in Distributed Reinforcement Learning	-
Best Baseline	22.5	The Arcade Learning Environment: An Evaluation Platform for General Agents	-

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