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Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

 

JOB DESCRIPTION AND POSITION REQUIREMENTS

The College of IST is seeking applicants for part-time job of Undergraduate Researcher in Multi-Agent Reinforcement Learning.

Job duties to include:

• Conduct research on multi-agent deep reinforcement learning, including designing novel algorithms and architectures, conducting computational experiments in benchmark environments, and compiling results into reports.

Requirements, qualifications, and/or competencies:

• familiarity with the theory of deep reinforcement learning
• familiarity with state-of-the-art multi-agent reinforcement learning algorithms, including both value-decomposition and policy-based methods
• experience with deep learning, including hands-on experience with PyTorch
• experience with conducting experiments in multi-agent benchmark environments, including MPE and SMAC

Compensation:

The starting rate for this job is $20.

 

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

 

 

 

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Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

 

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

 

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