tonylitianyu / Preference-Planning-Deep-IRL
Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous environment
☆23Updated 2 years ago
Alternatives and similar repositories for Preference-Planning-Deep-IRL:
Users that are interested in Preference-Planning-Deep-IRL are comparing it to the libraries listed below
- [ICRA 2022] Learning to Navigate Intersections with Unsupervised Driver Trait Inference☆25Updated 2 months ago
- A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques.☆12Updated 3 years ago
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆12Updated 4 years ago
- Use DQN to boost MPC computation for dynamic obstacle avoidance.☆37Updated 7 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
- 新增一个CBF层,并将其结合进actor网络中,得到safe RL框架。后续验证中发现这种做法并没有实质性的用处,所以不再继续这个项目☆9Updated 2 years ago
- [IEEE TAI] Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.☆54Updated 6 months ago
- ☆32Updated 3 months ago
- Multi-agent version of highway_env simulator☆20Updated 4 years ago
- iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning☆38Updated last month
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆36Updated 2 years ago
- [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning☆24Updated last year
- Using RL based controller for steering function of RRT. And a network learns to perform motion planning☆34Updated 4 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆44Updated 2 weeks ago
- This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL☆24Updated 3 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆33Updated 11 months ago
- Imitation Learning with the INTERACTION Dataset☆32Updated last year
- ☆12Updated 2 years ago
- Application of an LSTM-based policy gradient on an RL agent☆14Updated 2 years ago
- Highway-Env Agent using DQN☆19Updated 2 years ago
- Reinforcement Learning Agents for Solving HighwayEnv's RaceTrackEnv☆18Updated 11 months ago
- Integrating Reinforcement Learning and Model Predictive Control for Enhancing Safety in Automated Vehicle Systems☆19Updated last year
- DRL-based collision avoidance for turtlebot3☆18Updated 2 years ago
- MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforce…☆21Updated 3 years ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆28Updated last year
- Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects☆40Updated 2 months ago
- The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.☆48Updated 3 years ago
- reinforcement learning, navigation, unitree, velodyne, slam, collision avoidance☆20Updated last year
- we combine safe reinforcement learning with MPC to enhance the safety in the on-ramp merging scenario☆33Updated last month
- -A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques☆32Updated 4 years ago