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Peter Stone

83 papers · 2006–2026 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (19) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (20) 🧬 Topic Evolution 🌱 Topic Pioneer πŸ† Keyword Champion (3) πŸ† Grand Slam πŸ”¬ Deep Specialist (18) 🀝 Dynamic Duo (10) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) πŸ—ƒοΈ Keyword Collector (60) πŸ’Ž Century Club (81) ⚑ Prolific Year (12)

Conferences

AAAI (16) IJCAI (15) NIPS (15) CORL (12) ICML (8) ICLR (5) JMLR (5) CVPR (2) EMNLP (2) RSS (2) UAI (1)

Top co-authors

Scott Niekum (10) Garrett Warnell (9) Bo Liu (9) Qiang Liu (8) Ishan Durugkar (7) Roberto MartΓ­n-MartΓ­n (7) Jiaheng Hu (7) Yuke Zhu (7) Zizhao Wang (6) Jivko Sinapov (6)

Research topics

Robotics (2) Learning Paradigms (1) Capabilities (1) Linguistics (1) Education (1)

Keywords

reinforcement learning (13) policy learning (8) deep reinforcement learning (6) transfer learning (6) robot manipulation (5) imitation learning (5) ad hoc teamwork (5) mean squared error (4) markov decision process (4) sample efficiency (4) behavior policy (3) reward function (3) goal-conditioned reinforcement learning (3) out-of-distribution generalization (3) human-robot interaction (3) off-policy evaluation (3) multi-task learning (3) temporal difference learning (3) multi-agent reinforcement learning (3) domain generalization (3)

Papers

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
DMΒ²: 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 β€œI 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