Peter Stone

Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy AAAI 2026 The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All AAAI 2026 Hyperspherical Normalization for Scalable Deep Reinforcement Learning ICML 2025 SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL CORL 2025 MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention CORL 2025 SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation CORL 2025 Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory ICLR 2025 SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning ICLR 2025 Longhorn: State Space Models are Amortized Online Learners ICLR 2025 Proto Successor Measure: Representing the Behavior Space of an RL Agent ICML 2025 Argus: A Compact and Versatile Foundation Model for Vision CVPR 2025 The Essentials of AI for Life and Society: An AI Literacy Course for the University Community AAAI 2025 Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes AAAI 2025 ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion CORL 2025 Reward (Mis)design for Autonomous Driving (Abstract Reprint) AAAI 2024 LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning EMNLP 2024 Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration NIPS 2024 Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NIPS 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions NIPS 2024 N-agent Ad Hoc Teamwork NIPS 2024 Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024 Learning to Look: Seeking Information for Decision Making via Policy Factorization CORL 2024 Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks ICLR 2024 Learning Optimal Advantage from Preferences and Mistaking It for Reward AAAI 2024 Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024 Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents AAAI 2024 Causal Policy Gradient for Whole-Body Mobile Manipulation RSS 2023 FAMO: Fast Adaptive Multitask Optimization NIPS 2023 LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning NIPS 2023 ELDEN: Exploration via Local Dependencies NIPS 2023 f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences NIPS 2023 MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection ICLR 2023 The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications AAAI 2023 Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023 Learning Generalizable Manipulation Policies with Object-Centric 3D Representations CORL 2023 DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching AAAI 2023 STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience CORL 2023 Motion Planning (In)feasibility Detection using a Prior Roadmap via Path and Cut Search RSS 2023 Composing Efficient, Robust Tests for Policy Selection UAI 2023 Dynamic Sparse Training for Deep Reinforcement Learning IJCAI 2022 Value Function Decomposition for Iterative Design of Reinforcement Learning Agents NIPS 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach NIPS 2022 VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors CORL 2022 Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning CORL 2022 Coopernaut: End-to-End Driving With Cooperative Perception for Networked Vehicles CVPR 2022 Causal Dynamics Learning for Task-Independent State Abstraction ICML 2022 Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021 Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback AAAI 2021 Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle AAAI 2021 Adversarial Intrinsic Motivation for Reinforcement Learning NIPS 2021 Conflict-Averse Gradient Descent for Multi-task learning NIPS 2021 Machine versus Human Attention in Deep Reinforcement Learning Tasks NIPS 2021 Expected Value of Communication for Planning in Ad Hoc Teamwork AAAI 2021 Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks AAAI 2021 Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey JMLR 2020 Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning IJCAI 2020 A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork IJCAI 2020 Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020 Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NIPS 2020 Learning to Improve Multi-Robot Hallway Navigation CORL 2020 The EMPATHIC Framework for Task Learning from Implicit Human Feedback CORL 2020 An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch NIPS 2020 Imitation Learning from Video by Leveraging Proprioception IJCAI 2019 Leveraging Human Guidance for Deep Reinforcement Learning Tasks IJCAI 2019 Importance Sampling Policy Evaluation with an Estimated Behavior Policy ICML 2019 Selecting Compliant Agents for Opt-in Micro-Tolling AAAI 2019 Ad Hoc Teamwork With Behavior Switching Agents IJCAI 2019 Recent Advances in Imitation Learning from Observation IJCAI 2019 Learning a Policy for Opportunistic Active Learning EMNLP 2018 Multi-modal Predicate Identification using Dynamically Learned Robot Controllers IJCAI 2018 Behavioral Cloning from Observation IJCAI 2018 Opportunistic Active Learning for Grounding Natural Language Descriptions CORL 2017 Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning IJCAI 2017 Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017 Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors IJCAI 2016 On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search ICML 2016 Robot Scavenger Hunt: A Standardized Framework for Evaluating Intelligent Mobile Robots IJCAI 2016 Learning Multi-Modal Grounded Linguistic Semantics by Playing “I Spy” IJCAI 2016 When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing IJCAI 2015 Learning to Interpret Natural Language Commands through Human-Robot Dialog IJCAI 2015 Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009 Transfer Learning via Inter-Task Mappings for Temporal Difference Learning JMLR 2007 Evolutionary Function Approximation for Reinforcement Learning JMLR 2006