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SOTA
Atari 游戏
Atari Games On Atari 2600 Tennis
Atari Games On Atari 2600 Tennis
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
Columns
模型名称
Score
Paper Title
Repository
GDI-I3
24
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
-
GDI-H3
24
Generalized Data Distribution Iteration
-
GDI-I3
24
Generalized Data Distribution Iteration
-
Ape-X
23.9
Distributed Prioritized Experience Replay
Agent57
23.84
Agent57: Outperforming the Atari Human Benchmark
IQN
23.6
Implicit Quantile Networks for Distributional Reinforcement Learning
QR-DQN-1
23.6
Distributional Reinforcement Learning with Quantile Regression
C51 noop
23.1
A Distributional Perspective on Reinforcement Learning
ASL DDQN
22.3
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Recurrent Rational DQN Average
20.6
Adaptive Rational Activations to Boost Deep Reinforcement Learning
Rational DQN Average
20.5
Adaptive Rational Activations to Boost Deep Reinforcement Learning
DreamerV2
14
Mastering Atari with Discrete World Models
DQN noop
12.2
Deep Reinforcement Learning with Double Q-learning
DDQN+Pop-Art noop
12.1
Learning values across many orders of magnitude
-
DQN hs
11.1
Deep Reinforcement Learning with Double Q-learning
Duel noop
5.1
Dueling Network Architectures for Deep Reinforcement Learning
Duel hs
4.4
Dueling Network Architectures for Deep Reinforcement Learning
UCT
2.8
The Arcade Learning Environment: An Evaluation Platform for General Agents
IMPALA (deep)
0.55
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
SARSA
0.0
-
-
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