FarnazAdib / Crash_course_on_RLLinks
This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
☆83Updated last year
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
Sorting:
- Reinforcement Learning Cheat Sheet☆157Updated 6 years ago
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆53Updated 4 years ago
- Code repository for my course on the fundamentals of reinforcement learning☆95Updated 6 years ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆91Updated 6 years ago
- Performant, differentiable reinforcement learning☆125Updated 5 months ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆164Updated 2 years ago
- Labs for understanding and coding Standard Reinforcement Learning concepts☆60Updated 7 years ago
- Great resources for learning optimal control☆18Updated 6 years ago
- Evolving deep neural network agents using Genetic Algorithms☆69Updated 7 years ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- Fully differentiable RL environments, written in Ivy.☆66Updated 2 years ago
- ☆73Updated 5 years ago
- Repository for tutorial sessions at EEML2020☆270Updated 5 years ago
- An easy-to-use reinforcement learning library for research and education.☆176Updated last month
- Progress, Notes, Summaries and a lot of Questions on Machine Learning☆55Updated 5 years ago
- Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization☆135Updated last year
- The Differentiable Cross-Entropy Method☆124Updated 5 years ago
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆85Updated 3 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆143Updated 3 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 4 years ago
- ☆71Updated 3 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆156Updated 3 years ago
- ☆28Updated 2 weeks ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- self-studying the Sutton & Barto the hard way☆204Updated 4 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆54Updated 3 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆78Updated 5 years ago
- Accelerating Quadratic Optimization with Reinforcement Learning☆94Updated 4 years ago
- A library that makes Evolutionary Strategies (ES) simple to use.☆180Updated 4 years ago
- ☆92Updated 4 years ago