Abstract: Entropy regularization is an efficient technique for encouraging exploration and preventing a premature convergence of (vanilla) policy gradient (PG) methods in reinforcement learning (RL).
Unsupervised Discovery of Objects Physical Properties Through Maximum Entropy Reinforcement Learning
Abstract: Understanding the environment is crucial for autonomous robots to perform navigation and manipulation tasks. Never-seen-before objects may have complex appearances and dynamics, where only ...
Many facts of everyday life contribute to chronic stress; some, such as money and parenting, are nearly universal sources. The first step toward getting chronic stress under control is to learn your ...
This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...
In the laboratory sessions, the machines are prepared to have all relevant software pre-installed. As such, the necessary preparation steps are minimal. It is important to be aware that we use ...
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