385 results on '"Evangelos A. Theodorou"'
Search Results
52. HJB Based Optimal Safe Control using Control Barrier Functions.
53. Forward-Backward Rapidly-Exploring Random Trees for Stochastic Optimal Control.
54. Receding Horizon Differential Dynamic Programming Under Parametric Uncertainty.
55. ℒ1-Adaptive MPPI Architecture for Robust and Agile Control of Multirotors.
56. Nonlinear Covariance Control via Differential Dynamic Programming.
57. Sampling-Based Nonlinear Stochastic Optimal Control for Neuromechanical Systems.
58. Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs.
59. L1-GP: L1 Adaptive Control with Bayesian Learning.
60. Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory.
61. Bayesian Learning-Based Adaptive Control for Safety Critical Systems.
62. Constrained Sampling-based Trajectory Optimization using Stochastic Approximation.
63. Stabilizing Optimal Density Control of Nonlinear Agents with Multiplicative Noise.
64. Parameterized Differential Dynamic Programming.
65. Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM.
66. Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory.
67. Deep Generalized Schrödinger Bridge.
68. Schrödinger Approach to Optimal Control of Large-Size Populations.
69. Discrete-Time Differential Dynamic Programming on Lie Groups: Derivation, Convergence Analysis, and Numerical Results.
70. Robust Model Predictive Path Integral Control: Analysis and Performance Guarantees.
71. Autonomous Hybrid Ground/Aerial Mobility in Unknown Environments.
72. Accelerating Imitation Learning with Predictive Models.
73. Information Theoretic Model Predictive Control on Jump Diffusion Processes.
74. Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control.
75. Perceptual Attention-based Predictive Control.
76. Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems.
77. Hierarchical optimization for Whole-Body Control of Wheeled Inverted Pendulum Humanoids.
78. Early Failure Detection of Deep End-to-End Control Policy by Reinforcement Learning.
79. Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies.
80. Deep Forward-Backward SDEs for Min-max Control.
81. Aggressive Perception-Aware Navigation Using Deep Optical Flow Dynamics and PixelMPC.
82. Distributed Differential Dynamic Programming Architectures for Large-Scale Multi-Agent Control.
83. Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian.
84. Multimodal Maximum Entropy Dynamic Games.
85. Safety in Augmented Importance Sampling: Performance Bounds for Robust MPPI.
86. Distributed Model Predictive Covariance Steering.
87. Gaussian Process Barrier States for Safe Trajectory Optimization and Control.
88. MPOGames: Efficient Multimodal Partially Observable Dynamic Games.
89. Variational Inference MPC using Tsallis Divergence.
90. Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems.
91. DDPNOpt: Differential Dynamic Programming Neural Optimizer.
92. NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control.
93. Deep Learning Tubes for Tube MPC.
94. Spatio-Temporal Stochastic Optimization: Theory and Applications to Optimal Control and Co-Design.
95. Semi-parametric Approaches to Learning in Model-Based Hierarchical Control of Complex Systems.
96. Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms.
97. A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop.
98. A Fixed-Architecture Framework for Stochastic Nonlinear Controller Synthesis.
99. Seizure Reduction using Model Predictive Control.
100. Safe Learning of Quadrotor Dynamics Using Barrier Certificates.
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