Download Applying Q (λ) -learning in Deep Reinforcement Learning to Play Atari Games PDF Free - Full Version
Download Applying Q (λ) -learning in Deep Reinforcement Learning to Play Atari Games by ['omidbundy'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Applying Q (λ) -learning in Deep Reinforcement Learning to Play Atari Games
The document describes a new deep reinforcement learning algorithm called Deep Q(λ)-Network (DQ(λ)N) that combines Q(λ)-learning with a deep neural network. Q(λ)-learning incorporates eligibility traces to speed up learning compared to standard Q-learning. The proposed DQ(λ)N algorithm uses a deep neural network to estimate Q-values in order to further accelerate the learning process compared to the original DQN algorithm. The authors test DQ(λ)N on several Atari 2600 games and find it significantly reduces learning time compared to DQN.
Detailed Information
| Author: | ['omidbundy'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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