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:
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆37Updated 4 years ago
- Application of an LSTM-based policy gradient on an RL agent☆15Updated 3 years ago
- [ICRA 2022] Learning to Navigate Intersections with Unsupervised Driver Trait Inference☆26Updated 10 months ago
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 8 months ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆38Updated last year
- ☆79Updated 3 years ago
- Use DQN to boost MPC computation for dynamic obstacle avoidance.☆45Updated last year
- A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques.☆15Updated 4 years ago
- Using RL based controller for steering function of RRT. And a network learns to perform motion planning☆36Updated 5 years ago
- iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning☆40Updated 9 months ago
- -A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques☆32Updated 5 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆38Updated 3 years ago
- Integrating Reinforcement Learning and Model Predictive Control for Enhancing Safety in Automated Vehicle Systems☆32Updated last year
- ☆57Updated 3 years ago
- [IROS2021] Human-Inspired Multi-Agent Navigation using Knowledge Distillation☆27Updated 2 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆45Updated last year
- 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☆11Updated 2 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆53Updated 6 years ago
- ☆41Updated 11 months ago
- [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning☆28Updated last year
- Based on the thesis "Consensus-Based Decentralized Auctions for Robust Task Allocation", the realization of consensus-based auction algor…☆14Updated last year
- Safety-aware MPC-based RL framework☆70Updated last year
- Reinforcement Learning Agents for Solving HighwayEnv's RaceTrackEnv☆18Updated last year
- Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular for…☆48Updated 2 years ago
- ☆13Updated 4 years ago
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆13Updated 5 years ago
- Implementation of MPC-PEARL☆13Updated last year
- CDC2024_submission_repository☆47Updated last year
- ☆41Updated 3 years ago
- (Engineering) Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving☆63Updated 3 years ago