Incentive control for multi-agent systems
(57) ABSTRACT A machine learning system comprises: a set of agents, each having
associated processing circuitry and associated memory circuitry, the associated memory …
associated processing circuitry and associated memory circuitry, the associated memory …
Reinforcement learning by sharing individual data within dynamic groups
CY Ma, ZH Wang, S Zhao, L Zhang - US Patent 12,026,610, 2024 - Google Patents
Methods and systems for reinforcement learning with dynamic agent grouping include
gathering information at a first agent using one or more sensors. Shared information is …
gathering information at a first agent using one or more sensors. Shared information is …
Determining control policies by minimizing the impact of delusion
T Lu, DE Schuurmans, CE Boutilier - US Patent App. 17/289,514, 2021 - Google Patents
BACKGROUND [0002] This specification relates to reinforcement learn ing.[0003] In a
reinforcement learning system, an agent inter acts with an environment by performing …
reinforcement learning system, an agent inter acts with an environment by performing …
Trainable agent for traversing user interface
B Daei, PR Ghita, I Doumenc, J Gill - US Patent App. 16/940,854, 2022 - Google Patents
An example method of traversing a user interface of an interactive video game by a trainable
agent includes: iden tifying a current observable state of an interactive video game; …
agent includes: iden tifying a current observable state of an interactive video game; …
Reinforcement learning using obfuscated environment models
JVW Reynders III - US Patent 11,144,847, 2021 - Google Patents
Methods, systems, and apparatus, including computer programs encoded on a computer
storage medium, for training an action selection system used to select actions to be …
storage medium, for training an action selection system used to select actions to be …
Method and system of personalized blending for content recommendation
R Shen, K Tsioutsiouliklis, D Kim, Y Ma… - US Patent App. 17 …, 2022 - Google Patents
The present teaching relates to personalized content recommendation. A webpage is
contrasted for a user having a plurality of slots each of which is to be allocated with a content …
contrasted for a user having a plurality of slots each of which is to be allocated with a content …
Determining action selection policies of an execution device
Johanson et al.,“Efficient Nash Equilibrium Approximation through Monte Carlo
Counterfacutal Regret Minimization,” Conference: Autonomous Agents and Multiagent …
Counterfacutal Regret Minimization,” Conference: Autonomous Agents and Multiagent …
Method and apparatus for reinforcement machine learning
A method and an apparatus for exclusive reinforcement learning are provided, comprising:
collecting information of states of an environment through the communication interface and …
collecting information of states of an environment through the communication interface and …
Environment prediction using reinforcement learning
Methods, systems, and apparatus, including computer programs encoded on a computer
storage medium, for prediction of an outcome related to an environment. In one aspect, a …
storage medium, for prediction of an outcome related to an environment. In one aspect, a …
Systems and methods for accelerating model training in machine learning
Abstract Systems and methods are provided for training a model using machine learning. An
exemplary method may include providing, by the model in a training session, an action to an …
exemplary method may include providing, by the model in a training session, an action to an …