HyperAI超神経

Atari Games On Atari 2600 Breakout

評価指標

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 TitleRepository
IQN734Implicit Quantile Networks for Distributional Reinforcement Learning
A3C FF (1 day) hs551.6Asynchronous Methods for Deep Reinforcement Learning
UCT364.4The Arcade Learning Environment: An Evaluation Platform for General Agents
SPOS Search space 1144.4Optimizing the Neural Architecture of Reinforcement Learning Agents
FQF854.2Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Bootstrapped DQN855Deep Exploration via Bootstrapped DQN
CGP13.2Evolving simple programs for playing Atari games
MuZero (Res2 Adam)758.04Online and Offline Reinforcement Learning by Planning with a Learned Model
Agent57790.4Agent57: Outperforming the Atari Human Benchmark
ENAS Search space 1161.1Optimizing the Neural Architecture of Reinforcement Learning Agents
Best Learner5.2The Arcade Learning Environment: An Evaluation Platform for General Agents
ASL DDQN621.7Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity-
POP3D458.41Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
CURL18.2CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Prior+Duel hs354.6Deep Reinforcement Learning with Double Q-learning
Prior noop373.9Prioritized Experience Replay
Nature DQN401.2Human level control through deep reinforcement learning
Prior+Duel noop366.0Dueling Network Architectures for Deep Reinforcement Learning
DT267.5Decision Transformer: Reinforcement Learning via Sequence Modeling
DQN Best225Playing Atari with Deep Reinforcement Learning
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