marcinbogdanski / rl-sketchpadLinks
Collection of Deep Reinforcement Learning Jupyter Notebooks. Each notebook is self-contained and presents single algorithm. These include DP, MC, TD, SARSA, Q-Learning and DQNs.
☆38Updated 5 years ago
Alternatives and similar repositories for rl-sketchpad
Users that are interested in rl-sketchpad are comparing it to the libraries listed below
Sorting:
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆54Updated 3 years ago
- All the source codes and lectures of reinforcement learning.☆31Updated 5 years ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- Notes on many interesting RL papers☆26Updated 5 years ago
- Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)☆33Updated 3 years ago
- Sample-Efficient Automated Deep Reinforcement Learning☆34Updated 4 years ago
- Linear Algebra for Machine Learning Book Exercises☆13Updated 6 years ago
- ☆30Updated 5 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆138Updated 2 years ago
- ☆53Updated 4 years ago
- Hands-On Reinforcement Learning for Games, published by Packt☆60Updated 2 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)☆53Updated 4 years ago
- ☆21Updated 6 years ago
- Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations☆29Updated 6 years ago
- A curated list of deep RL resources☆26Updated 5 years ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆13Updated 2 years ago
- Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto☆19Updated 5 years ago
- Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn☆19Updated 7 years ago
- Value iteration, policy iteration, and Q-Learning in a grid-world MDP.☆29Updated last year
- We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.☆21Updated 2 years ago
- Minimal PyTorch Library for Natural Evolution Strategies☆17Updated 3 years ago
- Understanding RL vision Distill article☆23Updated 2 years ago
- Introduction to Deep Learning☆11Updated 4 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆98Updated 2 years ago
- RL CIRL Research☆13Updated 2 years ago
- Reinforcement Learning Algorithms with Python, Published by Packt☆183Updated 2 years ago
- Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller☆9Updated 7 years ago
- ☆94Updated 4 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆54Updated last year