Computing Complexity-aware Plans Using Kolmogorov Complexity

21 September 2021

Papers citing "Computing Complexity-aware Plans Using Kolmogorov Complexity"

9 / 9 papers shown

Title
Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization Daniel Jarne Ornia Giannis Delimpaltadakis Jens Kober Javier Alonso-Mora 43 3 0 30 Nov 2023
Learning to Actively Reduce Memory Requirements for Robot Control Tasks Meghan Booker Anirudha Majumdar 38 4 0 17 Aug 2020
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity S. Udrescu A. Tan Jiahai Feng Orisvaldo Neto Tailin Wu Max Tegmark 70 191 0 18 Jun 2020
Algorithmic Design for Embodied Intelligence in Synthetic Cells Ana Pervan Todd Murphey 34 6 0 12 Jun 2020
Learning Discrete State Abstractions With Deep Variational Inference Ondrej Biza Robert Platt Jan-Willem van de Meent Lawson L. S. Wong BDL 45 12 0 09 Mar 2020
A Strongly Asymptotically Optimal Agent in General Environments Michael K. Cohen Elliot Catt Marcus Hutter 35 12 0 04 Mar 2019
A Tour of Reinforcement Learning: The View from Continuous Control Benjamin Recht 121 627 0 25 Jun 2018
Universal Reinforcement Learning Algorithms: Survey and Experiments John Aslanides Jan Leike Marcus Hutter OffRL 53 19 0 30 May 2017
Policy Distillation Andrei A. Rusu Sergio Gomez Colmenarejo Çağlar Gülçehre Guillaume Desjardins J. Kirkpatrick Razvan Pascanu Volodymyr Mnih Koray Kavukcuoglu R. Hadsell 86 692 0 19 Nov 2015