PPaperPicks

Peter Stone

University of Texas at Austin, TX, USA

36 papers at tracked venues · 22 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-6795-420X ↗Google Scholar ↗Homepage ↗

Venues

AAAI ×8ICRA ×7NeurIPS ×7ICLR ×4IROS ×4AAMAS ×2ICML ×2CVPR ×1EMNLP ×1

Frequent coauthors

Zifan Xu
×6
Joydeep Biswas
×5
Jiaheng Hu
×5
Zizhao Wang
×5
Xuesu Xiao
×5
Roberto Martín-Martín
×4
Bo Liu
×4
Amy Zhang
×4
Kaushik Subramanian
×3
Peter R. Wurman
×3
Rohan Chandra
×3
Caroline Wang
×3

Papers

  1. Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy
    AAAI 2026 ·
    Bram Grooten
    ,
    Patrick MacAlpine
    ,
    Kaushik Subramanian
    , Peter Stone,
    Peter R. Wurman
  2. The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All
    AAAI 2026 ·
    Zifan Xu
    ,
    Kristen Procko
    ,
    Michael J. Munje
    ,
    Kristin Patterson
    ,
    Lea Sabatini
    ,
    Joydeep Biswas
    , Peter Stone
  3. Argus: A Compact and Versatile Foundation Model for Vision
    CVPR 2025 ·
    Weiming Zhuang
    ,
    Chen Chen
    ,
    Zhizhong Li
    ,
    Sina Sajadmanesh
    ,
    Jingtao Li
    ,
    Jiabo Huang
    ,
    Vikash Sehwag
    ,
    Vivek Sharma
    ,
    Hirotaka Shinozaki
    ,
    Felan Carlo Garcia
    ,
    Yihao Zhan
    ,
    Naohiro Adachi
    ,
    Ryoji Eki
    ,
    Michael Spranger
    , Peter Stone,
    Lingjuan Lyu
  4. Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
    AAAI 2025 ·
    Chen Tang
    ,
    Ben Abbatematteo
    ,
    Jiaheng Hu
    ,
    Rohan Chandra
    ,
    Roberto Martín-Martín
    , Peter Stone
  5. Dyn-O: Building Structured World Models with Object-Centric Representations
    NeurIPS 2025 ·
    Zizhao Wang
    ,
    Kaixin Wang
    ,
    Li Zhao
    , Peter Stone,
    Jiang Bian
  6. Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination
    IROS 2025 ·
    Saad Abdul Ghani
    ,
    Zizhao Wang
    , Peter Stone,
    Xuesu Xiao
  7. Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
    NeurIPS 2025 ·
    Chandler Smith
    ,
    Marwa Abdulhai
    ,
    Manfred Diaz
    ,
    Marko Tesic
    ,
    Rakshit S. Trivedi
    ,
    Alexander Sasha Vezhnevets
    ,
    Lewis Hammond
    ,
    Jesse Clifton
    ,
    Minsuk Chang
    ,
    Edgar A. Duéñez-Guzmán
    ,
    John P. Agapiou
    ,
    Jayd Matyas
    ,
    Danny Karmon
    ,
    Beining Zhang
    ,
    Jim Dilkes
    ,
    Akash Kundu
    ,
    Hieu Minh Nguyen
    ,
    Emanuel Tewolde
    ,
    Jebish Purbey
    ,
    Ram Mohan Rao Kadiyala
    ,
    Siddhant Gupta
    ,
    Aliaksei Korshuk
    ,
    Buyantuev Alexander
    ,
    Ilya Makarov
    ,
    Gang Zhao
    ,
    Rolando Fernandez
    ,
    Zhihan Wang
    ,
    Caroline Wang
    ,
    Jiaxun Cui
    ,
    Lingyun Xiao
    ,
    Di Shi
    ,
    Yoonchang Sung
    ,
    Muhammad Arrasy Rahman
    , Peter Stone,
    Yipeng Kang
    ,
    Hyeonggeun Yun
    ,
    Ananya Ananya
    ,
    Taehun Cha
    ,
    Zhiqiang Wu
    ,
    Elizaveta Tennant
    ,
    Olivia Macmillan-Scott
    ,
    Marta Segura
    ,
    Diana Riazi
    ,
    Fuyang Cui
    ,
    Sriram Ganapathi
    ,
    Toryn Q. Klassen
    ,
    Nico Schiavone
    ,
    Mogtaba Alim
    ,
    Sheila A. McIlraith
    ,
    Manuel Ríos
    ,
    Oswaldo Peña
    ,
    Carlos Rojas
    ,
    Manuela Chacon-Chamorro
    ,
    Rubén Manrique
    ,
    Luis Felipe Giraldo
    ,
    Nicanor Quijano
    ,
    Yiding Wang
    ,
    Yuxuan Chen
    ,
    Fangwei Zhong
    ,
    Mengmeng Wang
    ,
    Wenming Tu
    ,
    Zhaowei Zhang
    ,
    Ziang Chen
    ,
    Zixia Jia
    ,
    Xue Feng
    ,
    Zilong Zheng
    ,
    Chichen Lin
    ,
    Weijian Fan
    ,
    Chenao Liu
    ,
    Sneheel Sarangi
    ,
    Ziyan Wang
    ,
    Shuqing Shi
    ,
    Yali Du
    ,
    Avinaash Anand Kulandaivel
    ,
    Yang Liu
    ,
    Ruiyang Wu
    ,
    Chetan Talele
    ,
    Sunjia Lu
    ,
    Gema Parreno
    ,
    Shamika Dhuri
    ,
    Bain McHale
    ,
    Tim Baarslag
    ,
    Dylan Hadfield-Menell
    ,
    Natasha Jaques
    ,
    José Hernández-Orallo
    ,
    Joel Z. Leibo
  8. FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning
    ICRA 2025 ·
    Jiaheng Hu
    ,
    Rose Hendrix
    ,
    Ali Farhadi
    ,
    Aniruddha Kembhavi
    ,
    Roberto Martín-Martín
    , Peter Stone,
    Kuo-Hao Zeng
    ,
    Kiana Ehsani
  9. GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring
    IROS 2025 ·
    Linji Wang
    ,
    Zifan Xu
    , Peter Stone,
    Xuesu Xiao
  10. Hyperspherical Normalization for Scalable Deep Reinforcement Learning
    ICML 2025 ·
    Hojoon Lee
    ,
    Youngdo Lee
    ,
    Takuma Seno
    ,
    Donghu Kim
    , Peter Stone,
    Jaegul Choo
  11. L3M+P: Lifelong Planning with Large Language Models
    IROS 2025 ·
    Krish Agarwal
    ,
    Yuqian Jiang
    ,
    Jiaheng Hu
    ,
    Bo Liu
    , Peter Stone
  12. Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory
    ICLR 2025 ·
    Alexander Levine
    , Peter Stone,
    Amy Zhang
  13. Longhorn: State Space Models are Amortized Online Learners
    ICLR 2025 ·
    Bo Liu
    ,
    Rui Wang
    ,
    Lemeng Wu
    ,
    Yihao Feng
    , Peter Stone,
    Qiang Liu
  14. Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds
    IROS 2025 ·
    Rohan Chandra
    ,
    Haresh Karnan
    ,
    Negar Mehr
    , Peter Stone,
    Joydeep Biswas
  15. PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation
    ICRA 2025 ·
    Mingyo Seo
    ,
    Yoonyoung Cho
    ,
    Yoonchang Sung
    , Peter Stone,
    Yuke Zhu
    ,
    Beomjoon Kim
  16. Proto Successor Measure: Representing the Behavior Space of an RL Agent
    ICML 2025 ·
    Siddhant Agarwal
    ,
    Harshit Sikchi
    , Peter Stone,
    Amy Zhang
  17. RLZero: Direct Policy Inference from Language Without In-Domain Supervision
    NeurIPS 2025 ·
    Harshit Sikchi
    ,
    Siddhant Agarwal
    ,
    Pranaya Jajoo
    ,
    Samyak Parajuli
    ,
    Caleb Chuck
    ,
    Max Rudolph
    , Peter Stone,
    Amy Zhang
    ,
    Scott Niekum
  18. Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer
    ICRA 2025 ·
    Adam Labiosa
    ,
    Zhihan Wang
    ,
    Siddhant Agarwal
    ,
    William Cong
    ,
    Geethika Hemkumar
    ,
    Abhinav Narayan Harish
    ,
    Benjamin Hong
    ,
    Josh Kelle
    ,
    Chen Li
    ,
    Yuhao Li
    ,
    Zisen Shao
    , Peter Stone,
    Josiah P. Hanna
  19. SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
    ICLR 2025 ·
    Hojoon Lee
    ,
    Dongyoon Hwang
    ,
    Donghu Kim
    ,
    Hyunseung Kim
    ,
    Jun Jet Tai
    ,
    Kaushik Subramanian
    ,
    Peter R. Wurman
    ,
    Jaegul Choo
    , Peter Stone,
    Takuma Seno
  20. The Essentials of AI for Life and Society: An AI Literacy Course for the University Community
    AAAI 2025 ·
    Joydeep Biswas
    ,
    Don Fussell
    , Peter Stone,
    Kristin Patterson
    ,
    Kristen Procko
    ,
    Lea Sabatini
    ,
    Zifan Xu
  21. Asynchronous Task Plan Refinement for Multi-Robot Task and Motion Planning
    ICRA 2024 ·
    Yoonchang Sung
    ,
    Rahul Shome
    , Peter Stone
  22. Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
    AAAI 2024 ·
    Zizhao Wang
    ,
    Caroline Wang
    ,
    Xuesu Xiao
    ,
    Yuke Zhu
    , Peter Stone
  23. Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning
    ICRA 2024 ·
    Zifan Xu
    ,
    Amir Hossain Raj
    ,
    Xuesu Xiao
    , Peter Stone
  24. Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
    NeurIPS 2024 ·
    Borja G. León
    ,
    Francesco Riccio
    ,
    Kaushik Subramanian
    ,
    Peter R. Wurman
    , Peter Stone
  25. Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
    NeurIPS 2024 ·
    Jiaheng Hu
    ,
    Zizhao Wang
    , Peter Stone,
    Roberto Martín-Martín
  26. LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
    EMNLP 2024 ·
    Zifan Xu
    ,
    Haozhu Wang
    ,
    Dmitriy Bespalov
    ,
    Xian Wu
    , Peter Stone,
    Yanjun Qi
  27. Learning Optimal Advantage from Preferences and Mistaking It for Reward
    AAAI 2024 ·
    W. Bradley Knox
    ,
    Stephane Hatgis-Kessell
    ,
    Sigurdur O. Adalgeirsson
    ,
    Serena Booth
    ,
    Anca D. Dragan
    , Peter Stone,
    Scott Niekum
  28. Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents
    AAAI 2024 ·
    Muhammad Rahman
    ,
    Jiaxun Cui
    , Peter Stone
  29. N-agent Ad Hoc Teamwork
    NeurIPS 2024 ·
    Caroline Wang
    ,
    Arrasy Rahman
    ,
    Ishan Durugkar
    ,
    Elad Liebman
    , Peter Stone
  30. Overview of t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
    AAMAS 2024 ·
    William Yue
    ,
    Bo Liu
    , Peter Stone
  31. Relaxed Exploration Constrained Reinforcement Learning
    AAMAS 2024 ·
    Shahaf S. Shperberg
    ,
    Bo Liu
    , Peter Stone
  32. Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds
    ICRA 2024 ·
    Amir Hossain Raj
    ,
    Zichao Hu
    ,
    Haresh Karnan
    ,
    Rohan Chandra
    ,
    Amirreza Payandeh
    ,
    Luisa Mao
    , Peter Stone,
    Joydeep Biswas
    ,
    Xuesu Xiao
  33. Reward (Mis)design for Autonomous Driving (Abstract Reprint)
    AAAI 2024 ·
    W. Bradley Knox
    ,
    Alessandro Allievi
    ,
    Holger Banzhaf
    ,
    Felix Schmitt
    , Peter Stone
  34. Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
    ICLR 2024 ·
    Ziping Xu
    ,
    Zifan Xu
    ,
    Runxuan Jiang
    , Peter Stone,
    Ambuj Tewari
  35. SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
    NeurIPS 2024 ·
    Zizhao Wang
    ,
    Jiaheng Hu
    ,
    Caleb Chuck
    ,
    Stephen Chen
    ,
    Roberto Martín-Martín
    ,
    Amy Zhang
    ,
    Scott Niekum
    , Peter Stone
  36. Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference-Aligned Path Planning
    ICRA 2024 ·
    Haresh Karnan
    ,
    Elvin Yang
    ,
    Garrett Warnell
    ,
    Joydeep Biswas
    , Peter Stone