Dheeraj Sridharan is an accomplished Research Scientist at Google DeepMind, specializing in artificial intelligence, machine learning, and robotics. His work primarily focuses on developing intelligent agents that can learn complex behaviors, understand and interact with the physical world, and collaborate effectively. He has a strong background in reinforcement learning, computer vision, and robotic control, contributing to advancements in areas like robotic manipulation, multi-agent systems, and lifelong learning for autonomous systems. Dheeraj is passionate about pushing the boundaries of AI to create more capable and adaptable intelligent systems that can solve real-world challenges.
Dheeraj Sridharan's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Authored and co-authored influential research papers in top-tier AI and robotics conferences and journals (e.g., CoRL, ICRA, RSS, NeurIPS), significantly advancing the understanding and capabilities of robotic learning and manipulation.
Played a key role in designing and implementing novel machine learning algorithms, particularly in reinforcement learning and imitation learning, enabling robots to acquire complex skills more efficiently and robustly.
Contributed to significant research projects within Google DeepMind, focusing on enabling robots to perform complex tasks in unstructured environments and learn from diverse sources of data.
Explored and developed new techniques for multi-agent systems, allowing for more effective coordination and collaboration between multiple AI agents or robots to achieve common goals.
Wharton Executive Education- Pennsylvania USA - Year 2019
Amrita Institute of Computer Technology - Year 2000
TVSLMHSS - Year 1997
Wharton Executive Education - Year 2018
American Academy of Financial Planning AAFM
Symbiosis Institute of Management Studies
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