Peter Stone
Professor, Truchard Foundation Chair in Computer Science
Leads the Learning Agents Research Group, working on reinforcement learning, multiagent systems, robot soccer and autonomous agents.
Peter Stone's lab at UT Austin works on reinforcement learning and embodied & active vision. 117 papers since 2023, 68 at top venues, mostly ICRA and AAAI. 48 alumni, most often to Sony and Amazon. Applications close .
At a glance
- papers, 2023–2026
- 31/ year
- at T1 venues
- 58%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 48
Papers by yearfrom the lab homepage, 2023–2026
- 18 papers2026 · T1 12 · collecting
- 32 papers2025 · T1 20
- 30 papers2024 · T1 16
- 37 papers2023 · T1 20
T1 venuesOtherVenues: ICRA, AAAI, IROS, CoRL, NeurIPS
Research focuspaper titles that use each topic's words
- Reinforcement learning51 papers
- Embodied & active vision7 papers
- agents2 papers
- multiagent1 paper
- learning agents0 papers
Paper list
From the lab homepage.
202618 papers
- IEEE Robotics & Automation Magazine, 33:186-196Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Fourth BARN Challenge at ICRA 2025
- ICDLBaby Mesh Recovery Enables Infant Behavior Identification
- AAMAS (T1)Coadaptive Value Alignment
- International Conference on Autonomous Agents and Multi-Agent SystemsCoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning
- ICML (T1)Factored Latent Action World Models
- TMLR (T1)Influencing Humans to Conform to Preference Models for RLHF
- ICRA (T1)Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning
- IROS (T1)LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks
- ICRA (T1)Learning Agile Striker Skills for Humanoid Soccer Robots from Noisy Sensory Input
- AAAI (T1)Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy
- Nature (T1)Outplaying Elite Table Tennis Players with an Autonomous Robot
- IROS (T1)RoboSSM: Scalable In-Context Imitation Learning Via State-Space Models
202532 papers
- RA-LA Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7
- CVPR (T1)Argus: A Compact and Versatile Foundation Model for Vision
- IEEE Intelligent SystemsArtificial Intelligence: Looking Forward 15 Years
- Reinforcement Learning Journal, 6:1293-317Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks
- CoRL (T1)ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion
- Autonomous RobotsDeadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions
- NeurIPS (T1)Dyn-O: Building Structured World Models with Object-Centric Representations
- IROS (T1)Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination
- Conference on Neural Information Processing Systems (NeurIPSEvaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
- Nature (T1)Fair human-centric image dataset for ethical AI benchmarking
- ICRA (T1)FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning
- IROS (T1)GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring
202430 papers
- Nature Machine Intelligence (T1)A collective AI via lifelong learning and sharing at the edge
- Reinforcement Learning Journal, 4:1674-710A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo
- ICRA (T1)Asynchronous Task Plan Refinement for Multi-Robot Task and Motion Planning
- IEEE Robotics \& Automation MagazineAutonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions]
- AAAI (T1)Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
- ACM Transactions on Human-Robot InteractionConflict Avoidance in Social Navigation --- a Survey
- JMLR (T1)Data-Efficient Policy Evaluation Through Behavior Policy Search
- Annual Review of Control, Robotics, and Autonomous Systems (ARCRAS), 8:153-88Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
- ICRA (T1)Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning
- NeurIPS (T1)Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
- NeurIPS (T1)Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
- RO-MANDobby: A Conversational Service Robot Driven by GPT-4
202337 papers
- Proceedings of the First International Symposium on Trustworthy Autonomous Systems"What's That Robot Doing Here?": Factors Influencing Perceptions Of Incidental Encounters With Autonomous Quadruped Robots
- Neural NetworksA Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
- IROS (T1)A Novel Control Law for Multi-joint Human-Robot Interaction Tasks While Maintaining Postural Coordination
- ICRA (T1)Benchmarking Reinforcement Learning Techniques for Autonomous Navigation
- RSS (T1)Causal Policy Gradient for Whole-Body Mobile Manipulation
- UAI (T1)Composing Efficient, Robust Tests for Policy Selection
- AAMAS (T1)D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning
- AAAI (T1)DM$^2$: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching
- NeurIPS (T1)ELDEN: Exploration via Local Dependencies
- TMLR (T1)Event Tables for Efficient Experience Replay
- IEEE-RAS HumanoidsExploring the Cost of Interruptions in Human-Robot Teaming
- NeurIPS (T1)f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences
Where alumni went48 listed, 64% to industry
Industry 16Academia 9
Most often to
- Sony
- Amazon
- Apple
Also to
- Computer Scientist at Army Research Laboratory
- Indian Institute of Technology Bombay
- MBA Candidate at Kellogg School of Management
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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