Chuangchuang Sun | DeepAI

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Featured Co-authors

Jonathan P. How
106 publications
Miao Liu
37 publications
Gerald Tesauro
27 publications
Michael Everett
25 publications
Matthew Riemer
23 publications
Jakob N. Foerster
16 publications
Dong-Ki Kim
13 publications
Golnaz Habibi
11 publications
Macheng Shen
6 publications
Marwa Abdulhai
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Sebastian Lopez-Cot
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∙ 09/15/2023

Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming

Control Barrier functions (CBFs) have attracted extensive attention for ...

0 Alaa Eddine Chriat, et al. ∙

∙ 05/05/2023

On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach

Safety has been a critical issue for the deployment of learning-based ap...

1 Alaa Eddine Chriat, et al. ∙

∙ 03/07/2022

Influencing Long-Term Behavior in Multiagent Reinforcement Learning

The main challenge of multiagent reinforcement learning is the difficult...

0 Dong-Ki Kim, et al. ∙

∙ 09/14/2021

ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation

In a multirobot system, a number of cyber-physical attacks (e.g., commun...

0 Chuangchuang Sun, et al. ∙

∙ 08/09/2021

Reachability Analysis of Neural Feedback Loops

Neural Networks (NNs) can provide major empirical performance improvemen...

0 Michael Everett, et al. ∙

∙ 10/31/2020

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning

A fundamental challenge in multiagent reinforcement learning is to learn...

0 Dong-Ki Kim, et al. ∙

∙ 06/19/2020

Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer

This paper investigates reinforcement learning with safety constraints. ...

0 Chuangchuang Sun, et al. ∙

∙ 03/02/2020

Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph

The complexity of multiagent reinforcement learning (MARL) in multiagent...

0 Chuangchuang Sun, et al. ∙

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