Selected Key References

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Sparsely Supervised Diffusion
Advances in Neural Information Processing Systems 2026
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Sparsely Supervised Diffusion
Why Cross-Skeleton Retargeting Is Non-Identifiable: Structural Limits of Generative Motion Models
Advances in Neural Information Processing Systems 2026
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Why Cross-Skeleton Retargeting Is Non-Identifiable: Structural Limits of Generative Motion Models
Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning
Advances in Neural Information Processing Systems 2026
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Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning
Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection
IEEE/RSJ International Conference on Intelligent Robots and Systems 2026
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Embodied Active Learning under Limited Annotation and Navigation Budget for Object Detection
Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence
International Conference on Machine Learning 2026
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Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence
Smoothing Slot Attention Iterations and Recurrences
International Conference on Machine Learning 2026
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Smoothing Slot Attention Iterations and Recurrences
Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
International Conference on Learning Representations 2026
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Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
Offline Meta-Reinforcement Learning in Piecewise Stationary Environments
Transactions on Machine Learning Research 2026
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Offline Meta-Reinforcement Learning in Piecewise Stationary Environments
Object-Centric Vision Token Pruning for Vision Language Models
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026
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Object-Centric Vision Token Pruning for Vision Language Models
MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation With Deformable Objects
IEEE Robotics and Automation Letters 2026
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MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation With Deformable Objects
Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning
International Conference on Machine Learning 2026
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Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning
Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data
International Conference on Learning Representations 2026
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Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data
Automating on-site object inspection with a quadruped robot and BIM
Automation in Construction 2026
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Automating on-site object inspection with a quadruped robot and BIM
MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
Advances in Neural Information Processing Systems 2025
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MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
Manipulate-to-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors
IEEE/RSJ International Conference on Intelligent Robots and Systems 2025
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Manipulate-to-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors
Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals
International Conference on Machine Learning 2025
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Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals
Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance
Conference on Robot Learning 2025
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Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance
Vector-Quantized Vision Foundation Models for Object-Centric Learning
ACM International Conference on Multimedia 2025
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Vector-Quantized Vision Foundation Models for Object-Centric Learning
Multi-Scale Fusion for Object Representation
International Conference on Learning Representations 2025
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Multi-Scale Fusion for Object Representation
Discrete Codebook World Models for Continuous Control
International Conference on Learning Representations 2025
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Discrete Codebook World Models for Continuous Control
AgentMixer: Multi-Agent Correlated Policy Factorization
Proceedings of the AAAI Conference on Artificial Intelligence 2025
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AgentMixer: Multi-Agent Correlated Policy Factorization
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning
Proceedings of the AAAI Conference on Artificial Intelligence 2025
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Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning
End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement learning
IEEE Transactions on Robotics 2024
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End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement learning
On the benefit of optimal transport for curriculum reinforcement learning
IEEE Transactions on Pattern Analysis and Machine Intelligence 2024
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On the benefit of optimal transport for curriculum reinforcement learning
Optimistic Multi-Agent Policy Gradient
International Conference on Machine Learning 2024
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Backpropagation Through Agents
AAAI Conference on Artificial Intelligence 2024
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Backpropagation Through Agents
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
Conference on Robot Learning 2024
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RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
Function-space Parameterization of Neural Networks for Sequential Learning
International Conference on Learning Representations 2024
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Function-space Parameterization of Neural Networks for Sequential Learning
Continuous Monte Carlo Graph Search
International Conference on Autonomous Agents and Multi-Agent Systems 2024
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Continuous Monte Carlo Graph Search
Probabilistic Subgoal Representations for Hierarchical Reinforcement learning
International Conference on Machine Learning 2024
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Probabilistic Subgoal Representations for Hierarchical Reinforcement learning
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
Annual Conference on Learning for Dynamics and Control 2024
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Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
Hybrid search for efficient planning with completeness guarantees
Advances in Neural Information Processing Systems 2023
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Hybrid search for efficient planning with completeness guarantees
Simplified Temporal Consistency Reinforcement Learning
International Conference on Machine Learning (ICML) 2023
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Simplified Temporal Consistency Reinforcement Learning
Hierarchical Imitation Learning with Vector Quantized Models
International Conference on Machine Learning 2023
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Hierarchical Imitation Learning with Vector Quantized Models
Nonlinear Model Learning for Compensation and Feedforward Control of Real-World Hydraulic Actuators Using Gaussian Processes
IEEE Robotics and Automation Letters 2022
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Nonlinear Model Learning for Compensation and Feedforward Control of Real-World Hydraulic Actuators Using Gaussian Processes
POMDP planning under object composition uncertainty: Application to robotic manipulation
IEEE Transactions on Robotics 2022
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POMDP planning under object composition uncertainty: Application to robotic manipulation
Curriculum reinforcement learning via constrained optimal transport
International Conference on Machine Learning (ICML) 2022
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Partially Observable Markov Decision Processes in Robotics: A Survey
IEEE Transactions on Robotics 2022
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Boosted Curriculum Reinforcement Learning
International Conference on Learning Representations 2022
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GPU-accelerated policy optimization via batch automatic differentiation of gaussian processes for real-world control
IEEE International Conference on Robotics and Automation 2022
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A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
Journal of Machine Learning Research (JMLR) 2021
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Convex Regularization in Monte-Carlo Tree Search
In Proceedings of the International Conference on Machine Learning (ICML) 2021
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Self-Paced Deep Reinforcement Learning
Advances in Neural Information Processing Systems 2020
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Generalized Mean Estimation in Monte-Carlo Tree Search
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) 2020
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Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement
Autonomous Agents and Multi-Agent Systems 2020
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Probabilistic approach to physical object disentangling
IEEE Robotics and Automation Letters 2020
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Compatible natural gradient policy search
Machine Learning 2019
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Projections for Approximate Policy Iteration Algorithms
In Proceedings of the International Conference on Machine Learning (ICML) 2019
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Learning Intention Aware Online Adaptation of Movement Primitives
IEEE Robotics and Automation Letters 2019
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An Algorithmic Perspective on Imitation Learning
Foundations and Trends in Robotics 2018
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Hybrid Control Trajectory Optimization under Uncertainty
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017
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Robotic manipulation of multiple objects as a POMDP
Artificial Intelligence, Elsevier 2017
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