Policy Search for Motor Primitives in RoboticsKober, J. and Peters, J.R., 2009. Policy search for motor primitives in robotics. In Advances in neural information processing systems (pp. 849-856).
[Cheatsheet] Optimal ControlOptimal Control Formulation Let model be a function $x(k+1) = f(x(k), u(k), k): \mathbb{R}^n \times \mathbb{R}^m \times \mathbb{Z}_{\geq 0} \to \mathbb{R}...
[Cheatsheet] OptimizationDefinitions Objective Let $x$ be a decision variable and $f(x)$ be an objective function. $f(x): \mathbb{R}^n \to \mathbb{R} \quad (x\in \mathbb{R}^n)$.
Data-Efficient Hierarchical Reinforcement Learning (HIRO)Nachum O, Gu SS, Lee H, Levine S. Data-efficient hierarchical reinforcement learning. InAdvances in Neural Information Processing Systems 2018 (pp. 3303-3313...
Option-Critic ArchitectureBacon PL, Harb J, Precup D. The option-critic architecture. InThirty-First AAAI Conference on Artificial Intelligence 2017 Feb 13.
Learning Options in Reinfocement LearningStolle M, Precup D. Learning options in reinforcement learning. InInternational Symposium on abstraction, reformulation, and approximation 2002 Aug 2 (pp. 21...