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:
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]☆57Updated 4 years ago
- Code repository for my course on the fundamentals of reinforcement learning☆95Updated 6 years ago
- Evolving deep neural network agents using Genetic Algorithms☆69Updated 6 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 4 years ago
- Reinforcement Learning Cheat Sheet☆157Updated 6 years ago
- All the source codes and lectures of reinforcement learning.☆33Updated 5 years ago
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆53Updated 4 years ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- SpaceX Falcon 9 simulated with Reinforcement Learning algorithms such as D4PG,SAC and PPO.☆65Updated 5 years ago
- ☆28Updated 2 years ago
- Course notes for AA203☆155Updated 5 years ago
- Accelerating Quadratic Optimization with Reinforcement Learning☆94Updated 4 years ago
- A curated list of awesome multi-objective optimization research resources.☆64Updated 7 years ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆91Updated 6 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
- Fully differentiable RL environments, written in Ivy.☆66Updated 2 years ago
- Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)☆59Updated 4 years ago
- Performant, differentiable reinforcement learning☆125Updated 4 months ago
- ☆73Updated 5 years ago
- The Differentiable Cross-Entropy Method☆124Updated 5 years 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☆59Updated 6 years ago
- Great resources for learning optimal control☆18Updated 6 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆146Updated 2 years ago
- Resources, papers, tutorials☆126Updated 5 years ago
- ☆43Updated 4 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆155Updated 3 years ago
- Progress, Notes, Summaries and a lot of Questions on Machine Learning☆55Updated 5 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆54Updated 3 years ago