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

• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 3 years ago
• BerkeleyAutomation / rlqp
  Accelerating Quadratic Optimization with Reinforcement Learning
  ☆88Updated 3 years ago
• paraschopra / deepneuroevolution
  Evolving deep neural network agents using Genetic Algorithms
  ☆67Updated 6 years ago
• aravindsrinivas / neural-mpc
  ☆70Updated 4 years ago
• hzm2016 / sources-of-reinforcement-learning
  All the source codes and lectures of reinforcement learning.
  ☆30Updated 4 years ago
• Ankur-Deka / Emergent-Multiagent-Strategies
  Emergence of complex strategies through multiagent competition
  ☆42Updated 2 years ago
• VinF / practical_sessions_RL
  ☆28Updated 2 years ago
• google-research / rl-reliability-metrics
  The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …
  ☆165Updated last year
• ADGEfficiency / rl-resources
  A curated collection of reinforcement learning resources
  ☆88Updated last year
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆69Updated 4 years ago
• MishaLaskin / torchingup
  TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…
  ☆44Updated 2 years ago
• vdorobantu / lyapy
  Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
  ☆40Updated 2 years ago
• MarcToussaint / AI-lectures
  Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization
  ☆122Updated last month
• SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
  Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…
  ☆134Updated last year
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆55Updated 3 years ago
• linker81 / Reinforcement-Learning-CheatSheet
  Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)
  ☆50Updated 3 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆45Updated 3 years ago
• mdeib / berkeley-deep-RL-pytorch-starter
  Pytorch starter code for UC Berkeley's cs285 assignments
  ☆71Updated 3 years ago
• hari-sikchi / safeRL
  Safe Reinforcement Learning algorithms
  ☆73Updated 2 years ago
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆89Updated 5 years ago
• frknayk / Reinforcement-Learning-In-Control
  Control with Deep Reinforcement Learning
  ☆11Updated last year
• StanfordASL / SNDL
  Stabilizable Nonlinear Dynamics Learning
  ☆21Updated 5 years ago
• montrealrobotics / DeepRLInTheWorld
  From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
  ☆223Updated 8 months ago
• jbmouret / bo_tutorial
  Notebook for the Bayesian Optimization (quick) tutorial
  ☆10Updated 3 years ago
• philtabor / Reinforcement-Learning-In-Motion
  Code repository for my course on the fundamentals of reinforcement learning
  ☆92Updated 5 years ago
• kashif / firedup
  Clone of OpenAI's Spinning Up in PyTorch
  ☆147Updated 2 years ago
• Feryal / automated-curriculum-rl
  ☆31Updated 6 years ago
• martinseilair / learningoptimalcontrol
  Great resources for learning optimal control
  ☆17Updated 5 years ago
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆26Updated 2 years ago
• intel / cerl
  ☆73Updated 2 years ago