terrence-ou / Reinforcement-Learning-2nd-Edition-Notes-CodesLinks
Notes and code implementations of examples and algorithms of the book Reinforcement Learning, 2nd Edition
☆18Updated last year
Alternatives and similar repositories for Reinforcement-Learning-2nd-Edition-Notes-Codes
Users that are interested in Reinforcement-Learning-2nd-Edition-Notes-Codes are comparing it to the libraries listed below
Sorting:
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆51Updated 2 years ago
- Gradient Boosting Reinforcement Learning (GBRL)☆121Updated 2 months ago
- Lecture slides for the MARL book (www.marl-book.com)☆133Updated 5 months ago
- This repository contains a better implementation of Kolmogorov-Arnold networks☆63Updated 5 months ago
- GBRL-based Actor-Critic algorithms implemented in stable-baselines3☆38Updated last week
- Predicting the Sales using Time-series forecasting for month-wise data.☆21Updated 4 years ago
- Mastering Reinforcement Learning with Python, published by Packt☆167Updated last month
- Stanford CS234: Reinforcement Learning assignments and practices☆59Updated last year
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆240Updated 9 months ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆83Updated last month
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆24Updated last year
- Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.☆162Updated 4 months ago
- Reinforcement Learning for Optimal inventory policy☆33Updated 4 years ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 6 months ago
- Winner-takes-all for Multivariate Probabilistic Time Series Forecasting☆49Updated 2 months ago
- Ray RLlib tutorial material☆121Updated 3 years ago
- Notes of Reinforcement Learning MOOC by University of Alberta☆20Updated 5 years ago
- Neat Bayesian machine learning examples☆58Updated this week
- Reinforcement Learning Algorithms Tutorial (Python) from scratch (Mar 2021)☆201Updated this week
- Jupyter notebooks demonstrating the process of emulating a PID controller with an LSTM, and using that for anomaly detection☆20Updated 4 years ago
- Tutorial on time-series forcasting with scikit-learn☆34Updated 2 years ago
- A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for l…☆158Updated 4 years ago
- Forecasting with Hyper-Trees☆21Updated 2 months ago
- Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments☆288Updated 6 months ago
- Reinforcement Learning Algorithms with Python, Published by Packt☆185Updated 2 years ago
- RLlib tutorials☆66Updated 3 years ago
- JAxtar is a project with a JAX-native implementation of parallelizeable A* & Q* solver for neural heuristic search research.☆42Updated this week
- An OpenAI Gym environment for Inventory Control problems☆56Updated 5 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year
- All the source codes and lectures of reinforcement learning.☆32Updated 5 years ago