Fifth assignment for Machine Learning course @USI19/20.
-
Updated
Dec 23, 2019 - TeX
Fifth assignment for Machine Learning course @USI19/20.
CartPole-CrossEntropyMethod
The two wedges are stacked as shown, and a load is applied. What is the minimum force P required to pull the bottom wedge out? HAB = 0.1, 0.2,0.3 HAC = 0.2, 0.4, 0.6 UBD = 0.15, 0.3,0.45 Load: 300N, 400 N, 500 N
Compiler for faster development of resource packs for the Java edition of the game
Simple library based on https://github.com/osigaud/Basic-Policy-Gradient-Labs made for the Master's project: Comparison of Evolutionnary Methods and Reinforcement Learning methods on classical control benchmarks. Supervised by Prof Olivier Sigaud with Damien Legros.
Deep reinforcement learning implementations
Edge2AI Workshop
Stochastic Finite Element for 3D Electromagnetic Models
Experiment 1: Comparison of key bandit algorithms; Experiment 2: Comparison of Q and SARSA Learning on Taxiv3 environment' ; Experiment 3: Comparison of Q, SARSA and CEM Learning on LunarLanderv2 Environment
Model-Based RL Multi-Tasking with ReLAx
Solving Tetris using Cross-Entropy Method
semba-fdtd is a finite-differences in time domain solver with special focus on EMC problems. semba-fdtd can be used as a standalone solver or integrated within a FreeCAD workbench (www.elemwave.com).
Anisotropic FDTD, Electromagnetic cloak
UAP-BEV: Uncertainty Aware Planning in Bird's Eye View Generated from Monocular Images (CASE' 23)
Marmot is a data formatting and visualization tool for production cost and capacity expansion modelling results. It provides an efficient way to combine and view disaggregated results, while also creating publication ready figures and data tables.
Computational Electromagnetics Framework
Computational ElectroMagnetism on a Yee Lattice
Add a description, image, and links to the cem topic page so that developers can more easily learn about it.
To associate your repository with the cem topic, visit your repo's landing page and select "manage topics."