Ayush Jain — AI Researcher
PhD Topic: General Adaptable Agents. I aim to build adaptable intelligent agents in both physical and virtual worlds. Thus, I work on frameworks that enable generalization over actions, environments, tasks, and rewards. Research Topics: Reinforcement Learning, Imitation Learning, Graph Networks, Multi-task Learning Application Areas: Robotics, Recommender Systems, Minecraft, Tool Use
Stackforce AI infers this person is a Machine Learning Researcher with expertise in Reinforcement Learning and adaptable intelligent systems.
Location: Sunnyvale, California, United States
Experience: 9 yrs 4 mos
Skills
- Reinforcement Learning
- Research
- Core Ml
Career Highlights
- PhD in Reinforcement Learning with a focus on adaptable agents.
- Experience in applied research at leading tech companies.
- Proficient in multiple machine learning frameworks.
Work Experience
Meta
Research Scientist (1 yr 3 mos)
Research Scientist Intern (7 mos)
Microsoft
Research Intern (7 mos)
NAVER Corp
Research Intern (6 mos)
University of Southern California
Research Assistant (6 yrs 4 mos)
Samsung Electronics
Engineer (1 yr 9 mos)
Software Engineer Intern (2 mos)
AVL
Intern (2 mos)
Education
Doctor of Philosophy - PhD at University of Southern California
Bachelor of Technology - BTech at Indian Institute of Technology, Delhi
