# Multi-Agent Papers

**Repository Path**: Longzhong-Lin/multi-agent-papers

## Basic Information

- **Project Name**: Multi-Agent Papers
- **Description**: Papers of Multi-Agent Questions
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-08-22
- **Last Updated**: 2021-08-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Paper List

## Advanced Control
- Lyapunov for CMDP : [A Lyapunov-based Approach to Safe Reinforcement Learning](https://arxiv.org/abs/1805.07708)
- Control Barrier Function : [Control Barrier Functions: Theory and Applications](https://ieeexplore.ieee.org/abstract/document/8796030)
- CLF-CBF QP : [Control Barrier Function Based Quadratic Programs for Safety Critical Systems](https://arxiv.org/pdf/1609.06408.pdf)
- CBF & APF : [Comparative Analysis of Control Barrier Functions and Artificial Potential Fields for Obstacle Avoidance](https://arxiv.org/abs/2010.09819)
- Learning CBF : [Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates](https://arxiv.org/abs/2101.05436)

## Transition Model
- Sample Efficiency : [Learning World Transition Model for Socially Aware Robot Navigation](https://arxiv.org/abs/2011.03922)
- Trajectory Prediction (decomposed) : [Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments](https://ieeexplore.ieee.org/abstract/document/9360433/)
- Motion Disentanglement : [DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos](https://arxiv.org/abs/2103.04301)
- DDPAE : [Learning to Decompose and Disentangle Representations for Video Prediction](https://arxiv.org/abs/1806.04166)
- Visual Dynamics : [Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks](http://visualdynamics.csail.mit.edu/)
- PSD : [Unsupervised Discovery of Parts, Structure, and Dynamics](http://psd.csail.mit.edu/)

## Policy Design
- Subgoal Recommendation : [Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments](https://ieeexplore.ieee.org/abstract/document/9385847)