College of IST- Undergraduate Researcher in Multi-Agent Reinforcement Learning

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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.

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