Evangelos Theodorou
40 papers · 2010–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird
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Interdisciplinary Bridge
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Academic Marathon
(15)
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(13)
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(3)
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Keyword Champion
(3)
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Triple Crown
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Topic Evolution
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Dynamic Duo
(12)
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Century Club
(40)
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Trend Setter
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Unstoppable
(9)
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Conference Pioneer
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Keyword Collector
(141)
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Prolific Year
(5)
Conferences
RSS (13)
ICLR (9)
NIPS (6)
AISTATS (4)
ICML (4)
L4DC (2)
CORL (1)
JMLR (1)
Top co-authors
Research topics
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