GitHub topics: regret-minimization
Joy-014/HeadsUpSolver
🃏 Build a powerful Heads-Up No-Limit Texas Hold'em solver using Monte Carlo techniques and advanced game analysis for optimal strategy development.
Language: C++ - Size: 60.5 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
nier2kirito/All-in_or_Fold_Solver
A Monte Carlo CFR solver for All-In or Fold poker, computing approximate Nash-equilibrium strategies efficiently
Language: C++ - Size: 2.48 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
nier2kirito/HeadsUpSolver
This project is a heads-up no-limit Texas Hold’em solver designed to compute GTO strategies. It leverages CFR with efficient abstractions, allowing scalable strategy computation and analysis. The solver supports range input, action abstraction, and real-time decision-making, making it suitable for both research and practical gameplay analysis
Language: C++ - Size: 73.2 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0
vismaychuriwala/Optimal-Strategies-in-Multi-Armed-Bandits
This repository contains several implementations of multi-armed bandit (MAB) agents applied to a simulated cricket match where an agent selects among different strategies with the goal of maximizing runs while minimizing the risk of getting out.
Language: Python - Size: 17.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
aria-systems-group/regret_synthesis_toolbox
Source code for Regret synthesis for two-player turn-based game played on graphs - ICRA 22
Language: Python - Size: 12.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
saminheydarian/Interactive_Learning_Course_2021
Interactive Learning Course | Home Works & Quiz | Fall 2021 | Prof. Majid Nili
Language: Jupyter Notebook - Size: 5.5 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1
kkhetarpal/pomrl
POMRL: No-Regret Learning-to-Plan with Increasing Horizons [TMLR 2023]
Language: Jupyter Notebook - Size: 414 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0
lenghuang/ATLA-AGT
A visualization of a Regret Minimization Learning algorithm for Two Person games, but Avatar themed! 15-251 Fall 2020 Project
Language: JavaScript - Size: 21.6 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
sean-chester/k-regret
c++ implementation of algorithms for solving regret-minimising database queries
Language: C++ - Size: 28.3 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 0
raunakkmr/non-monotonic-resource-utilization-in-the-bandits-with-knapsacks-problem-code
This repository contains code for the paper "Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem".
Language: Python - Size: 324 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0
yhwang1990/dynamic-rms
FD-RMS
Language: Java - Size: 36.7 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1
LuanAdemi/CounterfactualRegretMinimization
A python implementaion of Counterfactual Regret Minimization using numba
Language: Python - Size: 43 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
cagandhi/GAN-Regret-Minimization
A regret minimization approach to training Generative Adversarial Networks (GANs). This was my project in the "Algorithms and Optimization for Big Data" course.
Size: 1.19 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 1
afiliot/Preference-Learning-And-Movie-Reviews
Project on preference learning - ENSAE ParisTech
Language: Python - Size: 5.58 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
Saiteja-Reddy/Wireless-Network-Monitoring---Sequential-Learning
Paper implementation of Sequential Learning for Multi-Channel Wireless Network Monitoring With Channel Switching Costs
Language: Jupyter Notebook - Size: 510 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0
himol7/GANs-Regret-Minimization
Probabilistic Future Video Frame Prediction using Generative Adversarial Networks by employing a regret minimization strategy for training GANs.
Size: 1020 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0
