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Papers
Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
L4DC 2026
$Door(s)$: Junction State Estimation for Efficient Exploration in Reinforcement Learning
CoRL 2025
Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames
CoRL 2025
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
CoRL 2025
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
ICML 2025
Sample-Efficient Online Control Policy Learning with Real-Time Recursive Model Updates
CoRL 2025
Self-supervised perception for tactile skin covered dexterous hands
CoRL 2025
The Batch Complexity of Bandit Pure Exploration
ICML 2025
Byzantine Resilient and Fast Federated Few-Shot Learning
ICML 2024
Rich-Observation Reinforcement Learning with Continuous Latent Dynamics
ICML 2024