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Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Weizhe Chen
About me
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Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Bi-level Actor-Critic for Multi-agent Coordination
Published in AAAI2020, 2020
We proposed a novel bi-level actor-critic learning method for multi-agent reinforcement learning that allows agents to have different knowledge base, while their actions still can be executed simultaneously and distributedly, and result in Stackelberg equilibrium as the solution.
Download here
When to Follow the Tip: Security Games with Strategic Informants
Published in IJCAI-PRICAI 2020, 2020
We introduced a new player – a strategic informant, who can observe and report upcoming attacks – to the defender-attacker security game setting.
Download here
Data-Driven Multimodal Patrol Planning for Anti-poaching
Published in IAAI2021, 2021
We used machine learning models to predict the threats and then use a novel mixed-integer linear programming to plan the route in a mix of driving and walking patrols.
Temporal Induced Self-Play for Stochastic Bayesian Games
Published in IJCAI2021, 2021
We proposed a temporal induced based self-play algorithm for stochastic Bayesian games. We showed that with our algorithm, we can efficiently converge close to sequential perfect bayesian equilibrium, which make the learned policy robust.
Download here
Landscape Optimization for Prescribed Burns in Wildfire Mitigation Planning
Published in COMPASS2022, 2022
we model the wildfire mitigation problem of selecting where to perform a set of prescribed burns across a large landscape into a multi-objective optimization problem. We build a workflow for later researchers to follow when dealing with similar problem.
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Discovering Symbolic Policy for Building Control using Reinforcement Learning
Published in IFAC WC 2023, 2023
We propose a learning framework for interpretable HVAC control in buildings using deep reinforcement learning (DRL).