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 8):
The system of  claim 7 , wherein the subsystem is further configured to provide an estimate of the position of the agent in the environment generated by the vision neural network as input to the grid cell neural network.

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): 0.3623721950626586
- 35 USC 102 Novelty (BERT): 0.4998250006402135
- Combined Prediction Score: 0.3761174756204141
- Mean Citation Score: 219.092092
- Max Citation Score: 239.16454
- Similarity Product: 176.55217788950802

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