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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
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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