MikeS96 / rl_notes
Notes of Reinforcement Learning MOOC by University of Alberta
☆17Updated 4 years ago
Alternatives and similar repositories for rl_notes:
Users that are interested in rl_notes are comparing it to the libraries listed below
- ☆28Updated 2 years ago
- Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn☆18Updated 6 years ago
- This is the code-base that I personally use as the starting point for any reinforcement learning codebase with the purpose of fast experi…☆12Updated 2 years ago
- State Space Models for Reinforcement Learning in Tensorflow☆19Updated 6 years ago
- ☆43Updated 3 years ago
- All the source codes and lectures of reinforcement learning.☆30Updated 4 years ago
- ☆17Updated 3 years ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆63Updated 4 months ago
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆54Updated 3 years ago
- ☆17Updated 3 years ago
- Bayesian Inverse Reinforcement Learning with simple environments☆18Updated 2 years ago
- Sample-Efficient Automated Deep Reinforcement Learning☆34Updated 4 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆136Updated 2 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆52Updated 4 years ago
- ICU-Sepsis is a lightweight, yet challenging RL environment that models the treatment of sepsis in the ICU.☆17Updated 5 months ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆38Updated 2 years ago
- Series of deep reinforcement learning algorithms 🤖☆29Updated 3 years ago
- 🐲 Stanford CS234 : Reinforcement Learning☆24Updated 5 years ago
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated 2 years ago
- Mastering Reinforcement Learning with Python, published by Packt☆156Updated 2 years ago
- CS285 Homework☆26Updated 4 years ago
- Introduction to Deep Learning☆11Updated 4 years ago
- Website for a doctoral course on Dynamic Optimization☆19Updated last year
- Distributed Machine Learning with Python, published by Packt☆39Updated last year
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)☆121Updated last year
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆39Updated 4 years ago
- Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto☆19Updated 5 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆81Updated 6 years ago
- ☆12Updated 4 years ago
- ☆95Updated 4 years ago