PATENT CLAIM ANALYSIS

Application Number: 16407645
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-11
Patent Classification: ["706", "023000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting actions to be performed by an agent interacting with an environment. In one aspect, a system comprises a grid cell neural network and an action selection neural network. The grid cell network is configured to: receive an input comprising data characterizing a velocity of the agent; process the input to generate a grid cell representation; and process the grid cell representation to generate an estimate of a position of the agent in the environment; the action selection neural network is configured to: receive an input comprising a grid cell representation and an observation characterizing a state of the environment; and process the input to generate an action selection network output.

Claim (Index 19):
The system of  claim 1 , wherein the current observation characterizing the current state of the environment is an image.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 100.0
- Lexical Diversity: 2.35593
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16403343', '15977913', '15349900', '15091840', '14952540']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3607356255522267
- 35 USC 102 Novelty (BERT): 0.50755510220434
- Combined Prediction Score: 0.3754175732174381
- Mean Citation Score: 219.092092
- Max Citation Score: 239.16454
- Similarity Product: 158.62443406921506

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

Dataset: test