FarnazAdib / Crash_course_on_RL
This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
☆80Updated 6 months ago
Alternatives and similar repositories for Crash_course_on_RL:
Users that are interested in Crash_course_on_RL are comparing it to the libraries listed below
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆89Updated 5 years ago
- From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..☆227Updated 9 months ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆69Updated 4 years ago
- Labs for understanding and coding Standard Reinforcement Learning concepts☆54Updated 6 years ago
- ☆28Updated 2 years ago
- Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization☆122Updated 2 months ago
- This repository contains the game bubble shooter as a gym environment. Based on: https://github.com/justinmeister/bubbleshooter☆17Updated 5 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆47Updated 2 years ago
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆84Updated 2 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆134Updated last year
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆78Updated 4 years ago
- Accelerating Quadratic Optimization with Reinforcement Learning☆88Updated 3 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆166Updated last year
- Bayesian Reinforcement Learning in Tensorflow☆320Updated 4 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆148Updated 2 years ago
- ☆25Updated 3 years ago
- Code repository for my course on the fundamentals of reinforcement learning☆94Updated 6 years ago
- The code used for the paper "On the stability analysis of optimal state feedbacks as represented by deep neural models"☆14Updated 5 years ago
- Performant, differentiable reinforcement learning☆120Updated 9 months ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 4 years ago
- Gridworld environments for OpenAI gym.☆80Updated last year
- ☆70Updated 4 years ago
- A curated list of awesome multi-objective optimization research resources.☆60Updated 6 years ago
- Great resources for learning optimal control☆17Updated 5 years ago
- ☆52Updated 4 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆38Updated 5 years ago
- The Differentiable Cross-Entropy Method☆126Updated 4 years ago
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated 2 years ago