Probabilistic Future Video Frame Prediction using Generative Adversarial Networks by employing a regret minimization strategy for training GANs.
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Updated
Oct 25, 2018
Probabilistic Future Video Frame Prediction using Generative Adversarial Networks by employing a regret minimization strategy for training GANs.
Paper implementation of Sequential Learning for Multi-Channel Wireless Network Monitoring With Channel Switching Costs
A regret minimization approach to training Generative Adversarial Networks (GANs). This was my project in the "Algorithms and Optimization for Big Data" course.
c++ implementation of algorithms for solving regret-minimising database queries
A visualization of a Regret Minimization Learning algorithm for Two Person games, but Avatar themed! 15-251 Fall 2020 Project
A python implementaion of Counterfactual Regret Minimization using numba
Interactive Learning Course | Home Works & Quiz | Fall 2021 | Prof. Majid Nili
This repository contains code for the paper "Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem".
Project on preference learning - ENSAE ParisTech
POMRL: No-Regret Learning-to-Plan with Increasing Horizons [TMLR 2023]
Source code for Regret synthesis for two-player turn-based game played on graphs - ICRA 22
Create a platform that recommends sustainable farming practices to farmers based on their specific location, soil type, crop choice, and climate conditions. Incorporating data on sustainable agriculture methods could help in increasing crop yield, reducing environmental impact, and promoting biodiversity.
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