tonylitianyu / Preference-Planning-Deep-IRLLinks
Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous environment
☆24Updated 3 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
Sorting:
- 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☆10Updated 2 years ago
- Use DQN to boost MPC computation for dynamic obstacle avoidance.☆42Updated 11 months ago
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆35Updated 4 years ago
- ☆77Updated 3 years ago
- A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques.☆15Updated 3 years ago
- [ICRA 2022] Learning to Navigate Intersections with Unsupervised Driver Trait Inference☆25Updated 7 months ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆52Updated 6 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 4 months ago
- ☆38Updated 7 months ago
- Safety-aware MPC-based RL framework☆65Updated 9 months ago
- iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning☆40Updated 5 months ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆32Updated last year
- Reinforcement Learning Agents for Solving HighwayEnv's RaceTrackEnv☆17Updated last year
- Integrating Reinforcement Learning and Model Predictive Control for Enhancing Safety in Automated Vehicle Systems☆24Updated last year
- Application of an LSTM-based policy gradient on an RL agent☆15Updated 3 years ago
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆13Updated 4 years ago
- -A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques☆32Updated 4 years ago
- ☆53Updated 3 years ago
- [IROS2021] Human-Inspired Multi-Agent Navigation using Knowledge Distillation☆25Updated 2 years ago
- Highway Traffic Control with MPC-based RL☆36Updated 2 months ago
- ☆40Updated 2 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆40Updated last year
- Using RL based controller for steering function of RRT. And a network learns to perform motion planning☆34Updated 5 years ago
- Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space (IEEE-IV-2024)☆27Updated last year
- CDC2024_submission_repository☆44Updated last year
- Implementation of MPC-PEARL☆13Updated last year
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆88Updated 5 years ago
- We use reachability to ensure the safety of a decision agent acting on a dynamic system in real-time. We compute the Forward Reachable Se…☆33Updated 4 years ago
- Based on the thesis "Consensus-Based Decentralized Auctions for Robust Task Allocation", the realization of consensus-based auction algor…☆13Updated last year
- ☆12Updated 4 years ago