mrucker / kpirl-klaLinks
This repository contains two new algorithms: KPIRL and KLA. KPIRL is a non-linear extension to Abbeel and Ng's Projection IRL algorithm (detailed in "Apprenticeship Learning via Inverse Reinforcement Learning"). KLA is an approximate RL algorithm designed to be used with KPIRL in large state-action spaces without any reward shaping. The algorith…
☆8Updated 2 years ago
Alternatives and similar repositories for kpirl-kla
Users that are interested in kpirl-kla are comparing it to the libraries listed below
Sorting:
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆87Updated 4 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆48Updated 5 years ago
- ☆21Updated 2 years ago
- Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review☆41Updated 4 years ago
- Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning☆29Updated 7 years ago
- Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…☆113Updated 3 years ago
- ☆32Updated 6 years ago
- ☆39Updated 2 years ago
- Safe Exploration with MPC and Gaussian process models☆89Updated 4 years ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆32Updated last year
- Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"☆16Updated 6 years ago
- ☆154Updated 6 years ago
- 预测-校正学习计算制导律☆12Updated 4 years ago
- 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。☆44Updated 4 years ago
- ☆48Updated 3 years ago
- ☆76Updated 2 years ago
- ☆12Updated 3 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 3 months ago
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆34Updated 3 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆40Updated last year
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆42Updated 3 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆74Updated 2 years ago
- Adaptive dynamic programming（ADP） 自适应动态规划☆45Updated 4 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆48Updated 6 years ago
- BipedalWalker & BipedalWalkerHardcore solved by SAC☆25Updated last year
- Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…☆15Updated 3 months ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆166Updated 11 months ago
- Adaptive dynamic programming☆121Updated 4 months ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 3 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆55Updated 7 years ago