vincehass / Deep-Reinforcement-Learning-Optimal-Control

Related projects ⓘ

Alternatives and complementary repositories for Deep-Reinforcement-Learning-Optimal-Control

• wgshen / sOED
  Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)
  ☆15Updated 2 years ago
• liuzuxin / Deep-Q-Network-and-Model-Predictive-Control-Project
  Implementation of Deep Q-Network（DQN）and Model Predictive Control, and their evaluation on the Quanser robot platform
  ☆11Updated 4 years ago
• chennnnnyize-zz / Optimal-Control-via-Neural-Networks
  Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach
  ☆76Updated 5 years ago
• tony23545 / DeepKoopman
  Use deep learning to learn Koopman operator and LQR for optimal control
  ☆15Updated 4 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆42Updated 3 years ago
• pratyushkumar211 / industrial_nnmpc_2021
  Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."
  ☆16Updated 2 years ago
• DanieleGammelli / graph-meta-rl-for-amod
  Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"
  ☆16Updated 2 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆37Updated 5 years ago
• aalu1418 / differential-games
  Python implementation of differential games - starting from simple 2 body pursuit/evader problems to more advanced scenarios.
  ☆31Updated 4 years ago
• Pdbz199 / koopman-rl
  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…
  ☆9Updated this week
• cuntou0906 / Adaptive-dynamic-programming
  Adaptive dynamic programming（ADP） 自适应动态规划
  ☆37Updated 4 years ago
• morim3 / DeepKalmanFilter
  Pytorch Implementation of Deep Kalman Filter
  ☆8Updated last year
• yushinliu / Adaptive-Dynamic-programming
  ☆29Updated 5 years ago
• BenjyWP / deep_meta-learning_guidance_law
  Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"
  ☆14Updated 5 years ago
• mahaitongdae / Approximate-Dynamic-Programming
  ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.
  ☆39Updated 2 years ago
• liuzuxin / MPC_template-model_predictive_control_for_reinforcement_learning
  Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment
  ☆77Updated 4 years ago
• MathewMithraNoel / Reinforcement-Learning-for-Nonlinear-Control
  Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach
  ☆39Updated 5 years ago
• Stanford-ILIAD / RL_Routing
  Companion code to TRC paper: Daniel A. Lazar, Erdem Bıyık, Dorsa Sadigh, Ramtin Pedarsani. "Learning how to Dynamically Route Autonomous …
  ☆15Updated 3 years ago
• mahaitongdae / Safety_Index_Synthesis
  Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.
  ☆13Updated last year
• JakobaRmn / Constraint_RL_MPC
  Safe control of unknown dynamic systems with reinforcement learning and model predictive control
  ☆43Updated 5 years ago
• bo-pang / OLSbPI
  Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …
  ☆18Updated 2 years ago
• gemst1 / IRL
  Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review
  ☆39Updated 3 years ago
• joigalcar3 / IHDP
  Implementation of Incremental Heuristic Dynamic Programming with Neural Networks as Actor and Critic function appoximators.
  ☆11Updated last year
• lujingweihh / Event-triggered-deep-Q-network
  Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.
  ☆13Updated last year
• ZhongZ-Wang / Model-Based-RL
  这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。
  ☆38Updated 4 years ago
• Jianxun-Wang / PIMBRL
  Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
  ☆45Updated 2 years ago
• bawalla2 / TNNLS-2022--CT-RL-Optimal-Control
  Contains all research-related code for publications by Brent Wallace, Arizona State University
  ☆10Updated last year
• tinyzqh / control-of-jump-systems-based-on-reinforcement-learning
  Code for the paper “Control Strategy of Speed Servo Systems Based on Deep Reinforcement Learning”
  ☆22Updated last year
• DeepakKarishetti / Reinforcement_learning-PID-auto-tuning
  Auto tuning of PID parameters of a quad-rotor using Q-learning
  ☆19Updated 4 years ago
• emedd33 / Reinforcement-Learning-in-Process-Control
  Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,
  ☆31Updated 10 months ago