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Policy Optimization to Learn Adaptive Motion Primitives in Path Planning with Dynamic Obstacles [Abstract]
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Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments [Abstract]
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Data-Efficient Policy Selection for Navigation in Partial Maps Via Subgoal-Based Abstraction [Abstract]
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Accelerating Reinforcement Learning for Autonomous Driving Using Task-Agnostic and Ego-Centric Motion Skills [Abstract]
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Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments [Abstract]
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NeU-NBV: Next Best View Planning Using Uncertainty Estimation in Image-Based Neural Rendering [Abstract]
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ITIRRT: A Decoupled Framework for the Integration of Machine Learning into Path Planning [Abstract]
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Navigation among Movable Obstacles Using Machine Learning Based Total Time Cost Optimization [Abstract]
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Spatial Reasoning Via Deep Vision Models for Robotic Sequential Manipulation [Abstract]
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SpeedFormer: Learning Speed Profiles with Upper and Lower Boundary Constraints Based on Transformer [Abstract]
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Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot Trajectory Planning [Abstract]
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NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning [Abstract]
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PTDRL: Parameter Tuning Using Deep Reinforcement Learning [Abstract]
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Learning to Play Trajectory Games against Opponents with Unknown Objectives [Abstract]