HyperAI
الرئيسية
الأخبار
أحدث الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
العربية
HyperAI
Toggle sidebar
البحث في الموقع...
⌘
K
الرئيسية
SOTA
Atari Games
Atari Games On Atari 2600 Tennis
Atari Games On Atari 2600 Tennis
المقاييس
Score
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Score
Paper Title
Repository
SARSA
0.0
-
-
Duel noop
5.1
Dueling Network Architectures for Deep 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
POP3D
-8.32
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
R2D2
-0.1
Recurrent Experience Replay in Distributed Reinforcement Learning
-
Rational DQN Average
20.5
Adaptive Rational Activations to Boost Deep Reinforcement Learning
GDI-I3
24
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
-
Nature DQN
-2.5
Human level control through deep reinforcement learning
Agent57
23.84
Agent57: Outperforming the Atari Human Benchmark
DQN noop
12.2
Deep Reinforcement Learning with Double Q-learning
IQN
23.6
Implicit Quantile Networks for Distributional Reinforcement Learning
UCT
2.8
The Arcade Learning Environment: An Evaluation Platform for General Agents
Gorila
-0.7
Massively Parallel Methods for Deep Reinforcement Learning
A3C LSTM hs
-6.4
Asynchronous Methods for Deep Reinforcement Learning
Prior hs
-5.3
Prioritized Experience Replay
MuZero
0.00
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
ES FF (1 hour) noop
-4.5
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
QR-DQN-1
23.6
Distributional Reinforcement Learning with Quantile Regression
DQN hs
11.1
Deep Reinforcement Learning with Double Q-learning
0 of 43 row(s) selected.
Previous
Next