Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review
☆46Apr 27, 2021Updated 4 years ago
Alternatives and similar repositories for IRL
Users that are interested in IRL are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Jul 6, 2017Updated 8 years ago
- Risk-sensitive Inverse Reinforcement Learning☆11Sep 11, 2019Updated 6 years ago
- This is the accompannying code for the paper "SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning" and "Dat…☆18Sep 15, 2017Updated 8 years ago
- Inverse optimal control from incomplete trajectory observations, proposing the concept of the recovery matrix which provides further insi…☆16Jan 22, 2021Updated 5 years ago
- Source code for journal paper "Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer"☆13Dec 26, 2017Updated 8 years ago
- Task models for human robot collaboration☆12Jul 17, 2018Updated 7 years ago
- Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture☆11Feb 3, 2023Updated 3 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆53Mar 13, 2019Updated 6 years ago
- H_inf tracking control for linear discrete-time systems using ADP☆12Jun 6, 2020Updated 5 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆178Oct 25, 2021Updated 4 years ago
- Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…☆27Mar 15, 2022Updated 3 years ago
- Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…☆122May 26, 2022Updated 3 years ago
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆34Mar 16, 2022Updated 3 years ago
- Convergent Policy Optimization for Safe Reinforcement Learning☆11Oct 26, 2019Updated 6 years ago
- A path following simulation for autonomous surface vehicle on Matlab/Simulink☆30Apr 16, 2023Updated 2 years ago
- A MATLAB simple interactive Reinforcement Learning environment for Evolutionary Neural Network-based car with a proximity sensor☆14Apr 11, 2019Updated 6 years ago
- Artifical_Potential_Field for Multiple Targets Applications☆14Nov 9, 2020Updated 5 years ago
- Spectral Method for Multiple Experts Inverse Reinforcement Learning☆14Sep 6, 2014Updated 11 years ago
- A new method for a robot to learn a control objective from human user's directional corrections.☆15Oct 27, 2021Updated 4 years ago
- Comparing the performance of Reinforcement learning models to control temperature with that of a PID and a thermostat controller.☆16Apr 26, 2020Updated 5 years ago
- Research on Inverse Reinforcement Learning for self driving vehicles at UCLA☆13Nov 7, 2018Updated 7 years ago
- This is the source code to simulate model-based (MB) and model-free (MF) reinforcement learning algorithms with replays in grid worlds.☆14Dec 19, 2022Updated 3 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆17Feb 23, 2023Updated 3 years ago
- code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution☆34Sep 5, 2021Updated 4 years ago
- This example uses Soft Actor Critic(SAC) based reinforcement learning to develop the mobile robot navigation. For a brief summary of the …☆18Aug 9, 2021Updated 4 years ago
- Multi-task Multi-agent Soft Actor Critic for SMAC☆15Jan 18, 2022Updated 4 years ago
- MODEL PREDICTIVE CONTROL (MPC) CONTROL BASED ON THE QUASI-MIN-MAX ALGORITHM WITH RELAXATION IN LMIS☆43Dec 14, 2024Updated last year
- Develop a Koopman operator based MPC for controlling a quadrotor☆74Sep 3, 2025Updated 5 months ago
- ☆17Dec 7, 2022Updated 3 years ago
- Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-paramet…☆14Mar 21, 2019Updated 6 years ago
- We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of mu…☆39Jul 5, 2020Updated 5 years ago
- [IJCAI 2022] "Dynamic Sparse Training for Deep Reinforcement Learning" by Ghada Sokar, Elena Mocanu , Decebal Constantin Mocanu, Mykola P…☆15May 13, 2022Updated 3 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆159Jun 10, 2020Updated 5 years ago
- course project: a simple implementation of Q learning and MPC☆19May 26, 2021Updated 4 years ago
- Stochastic Optimal Control in Robotics Project☆21May 14, 2019Updated 6 years ago
- Experiments showing effects of parameters on Maximum Entropy Inverse Reinforcement Learning using grid world☆15Nov 26, 2016Updated 9 years ago
- To guarantee safe and efficient driving for automated vehicles in complicated traffic conditions, the motion planning module of automated…☆72Oct 30, 2021Updated 4 years ago
- Data-Driven Predictive Control☆81Mar 1, 2024Updated 2 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Mar 24, 2024Updated last year