Overview
This editorial highlights a unique postdoctoral position available at the University of Oxford in collaboration with Microsoft Research Cambridge. The role centers on advancing reinforcement learning (RL) techniques specifically tailored for video game applications, addressing critical challenges in the field.
Background & Relevance
Reinforcement learning has emerged as a pivotal area in artificial intelligence, particularly in enhancing the capabilities of game AI. As video games become increasingly complex, the need for sophisticated RL methods that can handle cooperative multi-agent scenarios and adapt to new environments is paramount. This position not only contributes to academic research but also has significant implications for the gaming industry, where effective AI can transform user experiences.
Key Details
- Position: Research Associate in Reinforcement Learning
- Affiliated Institutions: Department of Computer Science, University of Oxford; Microsoft Research, Cambridge
- Research Focus: Developing RL methods for video games, addressing multi-agent collaboration and transfer learning
- Collaboration: One day a week at Microsoft Research, with a potential six-month follow-up stint
- Application Deadline: 12 noon on 5 September 2019
- Link for More Information: Oxford Computer Science
Eligibility & Participation
Candidates should possess a PhD or DPhil in Computer Science or a related field, ideally with a strong publication record in machine learning or a closely related area. Experience in reinforcement learning and gaming applications is highly desirable, making this position suitable for individuals looking to further their research careers in AI.
Submission or Application Guidelines
Interested applicants should prepare their applications in accordance with the guidelines provided by the University of Oxford. Specific submission instructions can be found on the linked page. Ensure to submit your application before the deadline to be considered for this exciting opportunity.
Additional Context / Real-World Relevance
The intersection of reinforcement learning and video games represents a vibrant research area with real-world applications. As gaming technology evolves, the demand for intelligent, adaptive AI systems grows. This research not only contributes to academic knowledge but also has the potential to influence future game design and player interaction, paving the way for more immersive experiences.
Conclusion
This postdoctoral position offers a remarkable opportunity for researchers interested in the cutting-edge field of reinforcement learning applied to video games. It encourages qualified candidates to apply and contribute to significant advancements in AI. Interested individuals are urged to explore this opportunity further and consider submitting their applications before the deadline.
Category: PhD & Postdoc Positions
Tags: reinforcement learning, video games, machine learning, oxford university, microsoft research, artificial intelligence, multi-agent systems, meta-learning
