vincehass / Deep-Reinforcement-Learning-Optimal-ControlLinks
This repository contains PyTorch implementations of deep reinforcement learning algorithms and environments for Robotics and Controls. The goal of this project is to include engineering applications for industrial optimization. I reproduce the results of several model-free and modelbased RL algorithms in continuous and discrete action domains.
☆19Updated 3 years ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-Optimal-Control
Users that are interested in Deep-Reinforcement-Learning-Optimal-Control are comparing it to the libraries listed below
Sorting:
- Implementation of Deep Q-Network(DQN)and Model Predictive Control, and their evaluation on the Quanser robot platform☆15Updated 5 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆21Updated 3 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆85Updated 6 years ago
- Repository collecting the code for papers and projects at our control group at University of Salerno (lead contact: Giovanni Russo)☆13Updated 10 months ago
- Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review☆46Updated 4 years ago
- Heuristic Dynamic Programming with Python☆14Updated 11 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆17Updated 5 years ago
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆56Updated 3 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆13Updated last year
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆50Updated 5 years ago
- Source code for journal paper "Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer"☆13Updated 8 years ago
- Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…☆12Updated 2 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆90Updated 5 years ago
- Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.☆29Updated 8 months ago
- Model Predictive Actor-Critic Reinforcement Learning☆70Updated 4 years ago
- ☆80Updated 6 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆53Updated 6 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆43Updated 6 years ago
- This repository contains all the supplementary material associated to the paper with title "Physics-Informed Multi-Agent Reinforcement Le…☆19Updated 3 months ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- ☆18Updated 5 years ago
- PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman…☆56Updated 11 months ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆44Updated 3 years ago
- ☆73Updated 5 years ago
- Decision Transformer: A brand new Offline RL Pattern.☆37Updated 4 years ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆22Updated 2 years ago
- Python implementation of differential games - starting from simple 2 body pursuit/evader problems to more advanced scenarios.☆37Updated 5 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆147Updated 2 years ago
- ☆14Updated 3 years ago
- Project exploring Multi Task Deep Reinforcement Learning neural network architectures and algorithms with Open AI Gym and TensorFlow☆17Updated 7 years ago