Active Learning of Hierarchically Parameterized Policies

Next Level Games is a full-service videogame developer based in Vancouver, BC. This intern research project will investigate mathematical solutions to the incredibly difficult problem of sequential decision making in an uncertain, partially observed, multi-agent environment with realistic motor dynamics. The problem is formalized under the reinforcement learning framework, where the agent observes the world state, takes action, receives a reward and observes the new state.

Faculty Supervisor:

Dr. Nando de Frietas

Student:

Mike Vlad Cora

Partner:

Next Level Games

Discipline:

Computer science

Sector:

Digital media

University:

University of British Columbia

Program:

Accelerate

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