Peter Stone

Digital Library

ACM AAAI Allen Newell Award

USA - 2024

citation

For significant contributions to the theory and practice of Artificial Intelligence, especially in Reinforcement Learning, Multiagent Systems, Transfer Learning, and Intelligent Robotics

Peter Stone's research has fundamentally advanced how autonomous agents learn, plan, and collaborate in complex, dynamic environments. His groundbreaking work on reinforcement learning algorithms has enabled robots to acquire skills through experience, while his innovations in multiagent coordination have transformed how teams of agents operate collectively toward shared goals.

The depth and breadth of Stone's contributions exemplify Allen Newell's vision of AI systems that integrate learning, reasoning, and action. His work spans theoretical foundations and practical implementations, consistently bridging the gap between AI research and real-world applications. His research has consistently integrated expertise from collaborators in Psychology, Neuroscience, Business, Biology, and multiple areas of Engineering.

Stone has also been a leader in the area of ethical AI bringing together humanists, social scientists, and computer scientists to assess the realistic opportunities for and risks from AI technologies. His work on the One Hundred Year Study on Artificial Intelligence (AI100) has charted proactive measures to help ensure that AI technologies do more societal good than harm.

Press Release

ACM Fellows

USA - 2020

citation

For contributions to automated planning, learning, and multiagent systems with applications in robotics and ecommerce

ACM Senior Member

USA - 2017

2024 ACM - AAAI Allen Newell Award

Peter Stone, Professor, University of Texas at Austin and Chief Scientist, Sony AI, receives the ACM - AAAI Allen Newell Award for significant contributions to the theory and practice of artificial intelligence (AI), especially in reinforcement learning, multiagent systems, transfer learning, and intelligent robotics.

As a leading figure in AI research, Stone has fundamentally advanced how autonomous agents learn, plan, and collaborate. His groundbreaking work on reinforcement learning algorithms has enabled robots to acquire skills through experience. At the same time, his innovations in multiagent coordination have transformed how teams of agents operate collectively toward shared goals.

2020 ACM Fellows Recognized for Work that Underpins Today’s Computing Innovations

ACM, the Association for Computing Machinery, has named 95 members ACM Fellows for wide-ranging and fundamental contributions in areas including artificial intelligence, cloud computing, computer graphics, computational biology, data science, human-computer interaction, software engineering, theoretical computer science, and virtual reality, among other areas. The accomplishments of the 2020 ACM Fellows have driven innovations that ushered in significant improvements across many areas of technology, indus.try, and personal life.

The ACM Fellows program recognizes the top 1% of ACM Members for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community. Fellows are nominated by their peers, with nominations reviewed by a distinguished selection committee.

"This year our task in selecting the 2020 Fellows was a little more challenging, as we had a record number of nominations from around the world,” explained ACM President Gabriele Kotsis. “The 2020 ACM Fellows have demonstrated excellence across many disciplines of computing. These men and women have made pivotal contributions to technologies that are transforming whole industries, as well as our personal lives. We fully expect that these new ACM Fellows will continue in the vanguard in their respective fields."

Underscoring ACM’s global reach, the 2020 Fellows represent universities, corporations and research centers in Australia, Austria, Canada, China, Germany, Israel, Japan, The Netherlands, South Korea, Spain, Sweden, Switzerland, Taiwan, the United Kingdom, and the United States.

The contributions of the 2020 Fellows run the gamut of the computing field―including algorithms, networks, computer architecture, robotics, distributed systems, software development, wireless systems, and web science―to name a few.

Additional information about the 2020 ACM Fellows, as well as previously named ACM Fellows, is available through the ACM Fellows site.

News release