PATENT CLAIM ANALYSIS

Application Number: 15977923
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["706", "025000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for asynchronous deep reinforcement learning. One of the systems includes a plurality of workers, wherein each worker is configured to operate independently of each other worker, and wherein each worker is associated with a respective actor that interacts with a respective replica of the environment during the training of the deep neural network.

Claim (Index 10):
The computer-storage media of  claim 9 , wherein each worker executes independently of each other worker on the same computer.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.58696
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15016173', '15367094', '15349900', '15977913', '15349894']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3999771012054235
- 35 USC 102 Novelty (BERT): 0.5216472786639805
- Combined Prediction Score: 0.4121441189512792
- Mean Citation Score: 225.962432
- Max Citation Score: 296.19855
- Similarity Product: 160.40534800370338

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test