← Authors

Evangelos Theodorou

40 papers · 2010–2025 · 8 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (15) 🐝 Cross-Pollinator (13) 🌟 Keyword Trendsetter Combo (3) 🏆 Keyword Champion (3) 👑 Triple Crown 🧬 Topic Evolution 🤝 Dynamic Duo (12) 💎 Century Club (40) 📈 Trend Setter 🔥 Unstoppable (9) 🚀 Conference Pioneer 🗃️ Keyword Collector (141) ⚡ Prolific Year (5)

Conferences

RSS (13) ICLR (9) NIPS (6) AISTATS (4) ICML (4) L4DC (2) CORL (1) JMLR (1)

Top co-authors

Guan-Horng Liu (12) Tianrong Chen (12) Ziyi Wang (5) Yunpeng Pan (4) Ioannis Exarchos (4) Augustinos D Saravanos (4) Molei Tao (3) Alex Oshin (3) Stefan Schaal (3) Marcus Pereira (3)

Research topics

Robotics (1)

Keywords

optimal control (7) stochastic optimal control (6) trajectory optimization (5) model predictive control (5) reinforcement learning (5) stochastic control (4) stochastic differential equation (3) imitation learning (3) differential dynamic programming (3) multi-agent system (3) forward-backward stochastic differential equation (3) schrödinger bridge (3) policy improvement (2) diffusion model (2) game theory (2) model-based reinforcement learning (2) recurrent neural network (2) nash equilibrium (2) policy learning (2) autonomous driving (2)

Papers

Feedback Schrödinger Bridge Matching ICLR 2025
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving RSS 2025
Deep Distributed Optimization for Large-Scale Quadratic Programming ICLR 2025
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups ICLR 2025
A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER ICLR 2024
Generalized Schrödinger Bridge Matching ICLR 2024
Differentiable Robust Model Predictive Control RSS 2024
Generative Modeling with Phase Stochastic Bridge ICLR 2024
Mirror Diffusion Models for Constrained and Watermarked Generation NIPS 2023
I$^2$SB: Image-to-Image Schrödinger Bridge ICML 2023
Distributed Hierarchical Distribution Control for Very-Large-Scale Clustered Multi-Agent Systems RSS 2023
Deep Momentum Multi-Marginal Schrödinger Bridge NIPS 2023
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory ICLR 2022
Deep Generalized Schrödinger Bridge NIPS 2022
Parameterized Differential Dynamic Programming RSS 2022
Large-Scale Multi-Agent Deep FBSDEs ICML 2021
Second-Order Neural ODE Optimizer NIPS 2021
Variational Inference MPC using Tsallis Divergence RSS 2021
Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems RSS 2021
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control ICLR 2021
DDPNOpt: Differential Dynamic Programming Neural Optimizer ICLR 2021
Dynamic Game Theoretic Neural Optimizer ICML 2021
Spatio-Temporal Stochastic Optimization: Theory and Applications to Optimal Control and Co-Design RSS 2020
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs CORL 2020
Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory L4DC 2020
L1-GP: L1 Adaptive Control with Bayesian Learning L4DC 2020
Deep Learning Tubes for Tube MPC RSS 2020
Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs RSS 2019
Accelerating Imitation Learning with Predictive Models AISTATS 2019
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018
Robust Sampling Based Model Predictive Control with Sparse Objective Information RSS 2018
Agile Autonomous Driving using End-to-End Deep Imitation Learning RSS 2018
Variational Policy for Guiding Point Processes ICML 2017
Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach RSS 2015
Sample Efficient Path Integral Control under Uncertainty NIPS 2015
Probabilistic Differential Dynamic Programming NIPS 2014
Movement Segmentation and Recognition for Imitation Learning AISTATS 2012
Tendon-Driven Variable Impedance Control Using Reinforcement Learning RSS 2012
A Generalized Path Integral Control Approach to Reinforcement Learning JMLR 2010
Learning Policy Improvements with Path Integrals AISTATS 2010