AddressResponsibilities:
●Support in developing game AI solutions based on provided guidelines, assisting in exploring the application of deep learning/reinforcement learning technology in game AI.
●Assist in training reinforcement learning AI agents in games, participate in designing algorithms to improve the performance and efficiency of the learning process.
●Keep up with the latest research publication in academia or industry under the guidance of the team.
●Communicate with other team members and participate in discussions about game AI designtechniques to improve end players' game experience.
Requirements:
●Currently pursuing a Master or PhD degree in Computer Science, Operations Research, Mathematics, or related fields.
●Knowledge and experience in game AI and reinforcement learning.
●Proficient in at least one programming language, and practical knowledge of one or more deep learning platforms such as TensorFlow, Caffe, PyTorch.
●Good analytical and problem-solving skills, with experience applying these skills to complex system.
Preferred:
●Prior experience with game AI projects or coursework in game AI related fields.
●Publications in top AI conferences (NeurIPS, IJCAI, AAAI, ICML, ICLR, etc.).
●Demonstrated interest in gaming industry and personal gaming experience.
●Excellent communication and collaboration skills.
