Michael Everett

4 papers · 2019–2025 · 3 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 (12)

Venues

CoRL (2) L4DC (1) NeurIPS (1)

Top co-authors

Jonathan P How (2) Leonard Jung (2) Gerald Tesauro (1) Alenna Spiro (1) Björn Lütjens (1) Alan Papalia (1) Matthew Riemer (1) Jonathan P. How (1) Christa S. Robison (1) Jakob Foerster (1)

Research topics

Artificial Intelligence (3) Core AI (3) Machine Learning (2) Reinforcement Learning (2) Robotics (2) Capabilities (2) Methods (2) Computer Vision (1) Deep Learning (1) Core Methods (1) Domain-Specific (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

deep reinforcement learning (1) motion planning (1) multi-agent reinforcement learning (1) reinforcement learning (1) adversarial robustness (1) policy optimization (1) point cloud (1) trajectory optimization (1) mobile robot (1) average reward (1) formal guarantee (1) certified defense (1) adaptive importance sampling (1) deep q-network (1) risk distribution (1) contingency planning (1) equilibrium selection (1) worst-case deviation (1) formal robustness guarantee (1) long-term performance (1)

Papers

Contingency Constrained Planning with MPPI within MPPI L4DC 2025 Learning Smooth State-Dependent Traversability from Dense Point Clouds CoRL 2025 Influencing Long-Term Behavior in Multiagent Reinforcement Learning NeurIPS 2022 Certified Adversarial Robustness for Deep Reinforcement Learning CoRL 2019