ゲームAIリサーチインターン｜Game AI Research Intern
Core
Implementing and developing reinforcement learning (RL) algorithms for game contexts and training RL models on innovative and practical tasks.
Role type
Research intern (reinforcement learning)
Builds
Novel RL algorithms and trained RL models for game applications
Domain
Gaming + Artificial Intelligence
Deliverable
research
Required skills
Reinforcement learning algorithm implementation, RL model tuning and optimization, Python, PyTorch
Preferred skills
Cooperative multi-agent reinforcement learning, human-AI cooperation, academic publishing in top conferences (NeurIPS, ICML, ICLR)
Technologies
Python, PyTorch
Responsibilities
Explore and develop novel reinforcement learning (RL) algorithms to address challenges in game contexts; Train RL models on innovative and practical tasks; Collaborate proactively with team members to achieve research goals
Seniority
Intern