Jonathan DeCastro

7 papers · 2020–2026 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird

Venues

CoRL (3) RSS (2) ICML (1) L4DC (1)

Top co-authors

Guy Rosman (5) Xiao Li (3) Daniela Rus (3) Cristian-Ioan Vasile (2) Haimin Hu (2) Emily Sumner (2) Sertac Karaman (2) Jaime Fernández Fisac (2) Deepak Gopinath (2) Justin Lidard (2)

Research topics

Artificial Intelligence (6) Core AI (6) Reinforcement Learning (5) Applications (4) Machine Learning (3) Robotics (3) Capabilities (3) Methods (3) Optimization & Theory (2) Deep Learning (1) Learning Types (1) Techniques (1)

Keywords

temporal logic (2) imitation learning (1) trajectory prediction (1) policy learning (1) adaptive sampling (1) hierarchical reinforcement learning (1) value estimation (1) inverse optimal control (1) state space model (1) differentiable optimization (1) autonomous vehicle (1) assistive agent (1) trajectory planning (1) continuous domain (1) shared control (1) policy composition (1) dynamic game (1) shared autonomy (1) intent conditioning (1) reference policy (1)

Papers

Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making L4DC 2026 Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports RSS 2025 Blending Data-Driven Priors in Dynamic Games RSS 2024 Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing CoRL 2024 Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor CoRL 2021 The Logical Options Framework ICML 2021 Differentiable Logic Layer for Rule Guided Trajectory Prediction CoRL 2020