oriyanh / Bridge-AILinks
In this project we try to create a sophisticated computer agent to play the Contact Bridge card game. Our goal is to develop an agent that is tough to play against, with fast reaction time so it is able to play in real time against humans. We approached this as a search problem, and implemented search-tree heuristics based on Minimax and Monte C…
☆18Updated 4 years ago
Alternatives and similar repositories for Bridge-AI
Users that are interested in Bridge-AI are comparing it to the libraries listed below
Sorting:
- A reimplementation of Thomas Andrews' Deal in Python.☆68Updated last month
- ☆24Updated 6 years ago
- Scalable Implementation of Neural Fictitous Self-Play☆81Updated 6 years ago
- The released model of the paper 'Automatic Bridge Bidding by Deep Reinforcement Learning' in ECAI 2016☆19Updated 8 years ago
- ☆19Updated last year
- A project to train a neural network to play Checkers through self-play combined with Monte Carlo Tree Search.☆57Updated 3 years ago
- Python and R tutorial for RLCard in Jupyter Notebook☆86Updated 3 years ago
- Counterfactual Regret Minimization (CFR) sample code in Python☆14Updated 6 years ago
- SpielViz is an interactive viewer for OpenSpiel games.☆32Updated last year
- Sokoban environment for OpenAI Gym☆372Updated last year
- Scalable implementation of DREAM - Deep RL for multi-agent imperfect information games☆117Updated 11 months ago
- Python 3 ctypes port of dds, the bridge double dummy solver☆17Updated 6 years ago
- Monte Carlo Conterfactual Regret Minimization for imperfect information games☆13Updated 6 years ago
- An environment of the board game Go using OpenAI's Gym API☆173Updated 3 years ago
- ☆11Updated last year
- Bandits Environments for the OpenAI Gym☆89Updated 5 years ago
- The purpose of this project is to research Artificial Intelligence and Reinforcement Learning. In the AI Arena, multiple agents can inte…☆34Updated 7 years ago
- A grid-world game engine for game AI research☆243Updated last year
- My Simple Implementation of AlphaGo Zero on Connect4☆18Updated 7 years ago
- OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning☆165Updated 5 years ago
- Counterfactual regret minimization algorithm for Kuhn poker☆172Updated 6 years ago
- Vectorized interface for reinforcement learning environments☆140Updated 2 years ago
- This code is based on the implementation of http://www.cs.cmu.edu/afs/cs/Web/People/sandholm/potential-aware_imperfect-recall.aaai14.pdf,…☆34Updated 6 years ago
- A NLTH Poker Agent using Counterfactual Regret Minimization☆51Updated 5 years ago
- RL environment replicating the werewolf game to study emergent communication☆20Updated 2 years ago
- Single player Alpha Zero implementation☆42Updated 3 years ago
- ☆30Updated 6 years ago
- The source code for the gym-microrts paper.☆42Updated 2 years ago
- An OpenAI Gym environment for Inventory Control problems☆55Updated 5 years ago
- Scalable Implementation of Deep CFR and Single Deep CFR☆300Updated 5 years ago