David Meger

Computer Science · Physical Sciences

21h-index6.1kcitations151works0.82yr avg
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Research Topics

Reinforcement Learning in Robotics(39), Robotics and Sensor-Based Localization(29), Advanced Image and Video Retrieval Techniques(23), Adversarial Robustness in Machine Learning(20), Domain Adaptation and Few-Shot Learning(15)

Publications151 total

Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
arXiv (Cornell University)·2026Open Access
Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings
ArXiv.org·2026Open Access
Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations
arXiv (Cornell University)·2026Open Access
Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations
ArXiv.org·2026Open Access
VOCALoco: Viability-Optimized Cost-Aware Adaptive Locomotion
IEEE Robotics and Automation Letters·2025
Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Large Pre-Trained Models for Bimanual Manipulation in 3D
2025
Large Pre-Trained Models for Bimanual Manipulation in 3D
arXiv (Cornell University)·2025Open Access
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning
2025
Topological Mapping for Traversability-Aware Long-Range Navigation in Off-Road Terrain
2025· 1 cited
Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models
arXiv (Cornell University)·2025Open Access
Learning Active Tactile Perception Through Belief-Space Control
2025
Generalizable Imitation Learning Through Pre-Trained Representations
2025· 2 cited
Programmable Shape‐Preserving Soft Robotics Arm via Multimodal Multistability (Adv. Funct. Mater. 6/2025)
Advanced Functional Materials·2025Open Access
Fairness in Reinforcement Learning with Bisimulation Metrics
arXiv (Cornell University)·2024Open Access
Parseval Regularization for Continual Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
arXiv (Cornell University)·2024· 1 citedOpen Access
Topological mapping for traversability-aware long-range navigation in off-road terrain
arXiv (Cornell University)·2024Open Access
Programmable Shape‐Preserving Soft Robotics Arm via Multimodal Multistability
Advanced Functional Materials·2024· 11 citedOpen Access
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Gregory Dudek(21), James J. Little(9), Doina Precup(8), Scott Fujimoto(7), Jimmy Li(7), Peter Henderson(5), Scott Helmer(5), David Lowe(5), Ioannis Rekleitis(5), Joëlle Pineau(4), Tristram Southey(4), Edward J. Smith(4), Juan Camilo Gamboa Higuera(4), Herke van Hoof(3), Riashat Islam(3), Pooja Viswanathan(3), Adriana Romero(3), Marius Muja(3), Wei-Di Chang(3), Philip Bachman(2)