Inventor profile of:

Peter WURMAN

City:

Acton, Massachusetts

Country:

United States

Published Applications:

15

Last publication date:

2026-04-30

Top Assignees for applications by Peter WURMAN

The entities that hold a legal rights for patent applications filed by inventor WURMAN Peter:

Recent patent applications by WURMAN Peter

Peter WURMAN from Acton, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2026-04-30
US20260119897A1
Physics

CONTROLLABLE AGENTS WITH STYLE IN OPEN WORLD GAMES THROUGH PARAMETERIZED REWARD WEIGHT UNIVERSAL VALUE FUNCTION APPROXIMATORS

#2 | 2024-11-14
US20240375010A1
Human necessities

TUNABLE AGENT BEHAVIORS THROUGH CONTINUOUS REWARD WEIGHT-BASED GOAL SPACES

#3 | 2023-11-30
US20230381660A1
Human necessities

User interface for operating artificial intelligence experiments

#4 | 2023-11-16
US20230368041A1
Physics

EVENT TABLES FOR EFFICIENT EXPERIENCE REPLAY

#5 | 2023-08-10
US20230249083A1
Human necessities

Methods for controlling use of computing resources, such as virtual game consoles

#6 | 2023-08-10
US20230249082A1
Human necessities

TRAINING ARCHITECTURE USING GAME CONSOLES

#7 | 2023-08-10
US20230249074A1
Human necessities

Artificial intelligence for driving lines in racing games

#8 | 2023-07-27
US20230237370A1
Physics

METHODS FOR TRAINING AN ARTIFICIAL INTELLIGENT AGENT WITH CURRICULUM AND SKILLS

#9 | 2022-11-17
US20220365493A1
Physics

Methods and systems to adapt PID coefficients through reinforcement learning

#10 | 2022-03-31
US20220101064A1
Physics

Task prioritized experience replay algorithm for reinforcement learning

#11 | 2022-03-03
US20220067504A1
Physics

TRAINING ACTOR-CRITIC ALGORITHMS IN LABORATORY SETTINGS

#12 | 2021-10-07
US20210312258A1
Physics

Computing temporal convolution networks in real time

#13 | 2020-07-09
US20200218992A1
Physics

MULTI-FORECAST NETWORKS

#14 | 2019-10-03
US20190303776A1
Physics

METHOD AND SYSTEM FOR AN INTELLIGENT ARTIFICIAL AGENT

#15 | 2019-08-08
US20190244112A1
Physics

Method and system for predicting discrete sequences using deep context tree weighting

InventorID:

2581843 ⎘