Pinned Repositories
DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
DirectFuturePrediction
Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
GomokuWeb
A web version of the Gomoku game with a good AI
grid_sp
holdem
:black_joker: OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning
incremental_decision_tree-CART-Random_Forest_python
incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest
InfoGainalpharank
Sample code for AAAI paper Estimating α-Rank by Maximizing Information Gain
malmo
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
nfsp-pytorch
Neural Fictitious Self-Play in Pytorch
open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
mzktbyjc2016's Repositories
mzktbyjc2016/holdem
:black_joker: OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning
mzktbyjc2016/nfsp-pytorch
Neural Fictitious Self-Play in Pytorch
mzktbyjc2016/DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
mzktbyjc2016/DirectFuturePrediction
Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
mzktbyjc2016/GomokuWeb
A web version of the Gomoku game with a good AI
mzktbyjc2016/grid_sp
mzktbyjc2016/incremental_decision_tree-CART-Random_Forest_python
incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest
mzktbyjc2016/InfoGainalpharank
Sample code for AAAI paper Estimating α-Rank by Maximizing Information Gain
mzktbyjc2016/malmo
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
mzktbyjc2016/open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
mzktbyjc2016/OWM
Code for Continual Learning of Context-dependent Processing in Neural Networks
mzktbyjc2016/PettingZoo
Gym for multi-agent reinforcement learning
mzktbyjc2016/pipeline-psro
Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
mzktbyjc2016/poker-NFSP
mzktbyjc2016/PokerRL
Framework for Multi-Agent Deep Reinforcement Learning in Poker
mzktbyjc2016/wine
Gomoku AI