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Synthesizing Neural Network Controllers with Probabilistic Model-Based Reinforcement Learning
Deep RL Bootcamp Lecture 9 Model-based Reinforcement Learning
MIT 6.S191 (2023): Reinforcement Learning
Thesis Defense: Flight Controller Synthesis via Deep Reinforcement Learning
Learning Stochastic Parametric Differentiable Predictive Control Policies
NeurIPS 2018 :: Learning convex bounds for linear quadratic control policy synthesis
Learning at test time in LLMs
Ndivhuwo Makondo: Logical Neural Networks
RSS 2021, Spotlight Talk 37: HJB-RL: Initializing Reinforcement Learning with Optimal Control...
Near-Optimal Probabilistic Search using Reinforcement learning
MIT 6.S191 (2021): Deep Learning New Frontiers
Building Knowledge For AI Agents With Reinforcement Learning - Doina Precup
