Jianyu Chen

Example Talk

Sat, 01 Jun 2030 13:00:00 +0000

Click on the Slides button above to view the built-in slides feature.

Slides can be added in a few ways:

Create slides using Wowchemy’s Slides feature and link using slides parameter in the front matter of the talk file
Upload an existing slide deck to static/ and link using url_slides parameter in the front matter of the talk file
Embed your slides (e.g. Google Slides) or presentation video on this page using shortcodes.

Further event details, including page elements such as image galleries, can be added to the body of this page.

Model-Free Safe Reinforcement Learning through Neural Barrier Certificate

Wed, 04 Jan 2023 16:30:50 +0800

Chance-Constrained Iterative Linear-Quadratic Stochastic Games

Tue, 03 Jan 2023 16:30:50 +0800

Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control

Sat, 10 Dec 2022 16:30:50 +0800

Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward

Wed, 30 Nov 2022 16:30:50 +0800

Unsupervised Skill Discovery via Recurrent Skill Training

Tue, 29 Nov 2022 16:30:50 +0800

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context

Mon, 28 Nov 2022 16:30:50 +0800

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning

Mon, 28 Nov 2022 16:30:50 +0800

A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation

Thu, 30 Jun 2022 16:30:50 +0800

Flow-based Recurrent Belief State Learning for POMDPs

Fri, 17 Jun 2022 16:30:50 +0800

Reachability Constrained Reinforcement Learning

Thu, 16 Jun 2022 16:30:50 +0800

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer

Wed, 15 Jun 2022 16:30:50 +0800

Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning

Fri, 10 Jun 2022 16:30:50 +0800

Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning

Sun, 05 Jun 2022 16:30:50 +0800

Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study

Sat, 04 Jun 2022 16:30:50 +0800

Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss

Sun, 15 May 2022 16:30:50 +0800

Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian

Fri, 15 Apr 2022 16:30:50 +0800

Scale-Equivalent Distillation for Semi-Supervised Object Detection

Tue, 15 Mar 2022 16:30:50 +0800

Model-based Actor-Critic with Chance Constraint for Stochastic System

Wed, 15 Dec 2021 16:30:50 +0800

Model-Based Reinforcement Learning via Imagination with Derived Memory

Sun, 05 Dec 2021 16:30:50 +0800

Belief State Separated Reinforcement Learning for Autonomous Vehicle Decision Making under Uncertainty

Mon, 15 Nov 2021 16:30:50 +0800

Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning

Mon, 25 Oct 2021 16:30:50 +0800

Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function

Mon, 25 Oct 2021 16:30:50 +0800

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning

Fri, 15 Oct 2021 16:30:50 +0800

A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning

Sun, 15 Aug 2021 16:30:50 +0800

Enable Faster and Smoother Spatio-Temporal Trajectory Planning for Autonomous Vehicles in Constrained Dynamic Environment

Thu, 15 Apr 2021 16:30:50 +0800

Interpretable End-to-End Urban Autonomous Driving with Latent Deep Reinforcement Learning

Mon, 15 Mar 2021 16:30:50 +0800

Reinforced Optimal Estimator

Fri, 05 Feb 2021 16:30:50 +0800

Welcome to Wowchemy, the website builder for Hugo

Sun, 13 Dec 2020 00:00:00 +0000

Overview

The Wowchemy website builder for Hugo, along with its starter templates, is designed for professional creators, educators, and teams/organizations - although it can be used to create any kind of site
The template can be modified and customised to suit your needs. It’s a good platform for anyone looking to take control of their data and online identity whilst having the convenience to start off with a no-code solution (write in Markdown and customize with YAML parameters) and having flexibility to later add even deeper personalization with HTML and CSS
You can work with all your favourite tools and apps with hundreds of plugins and integrations to speed up your workflows, interact with your readers, and much more

The template is mobile first with a responsive design to ensure that your site looks stunning on every device.

Get Started

👉 Create a new site
📚 Personalize your site
💬 Chat with the Wowchemy community or Hugo community
🐦 Twitter: @wowchemy @GeorgeCushen #MadeWithWowchemy
💡 Request a feature or report a bug for Wowchemy
⬆️ Updating Wowchemy? View the Update Tutorial and Release Notes

Crowd-funded open-source software

To help us develop this template and software sustainably under the MIT license, we ask all individuals and businesses that use it to help support its ongoing maintenance and development via sponsorship.

As a token of appreciation for sponsoring, you can unlock these awesome rewards and extra features 🦄✨

Ecosystem

Hugo Academic CLI: Automatically import publications from BibTeX

Inspiration

Check out the latest demo of what you’ll get in less than 10 minutes, or view the showcase of personal, project, and business sites.

Features

Page builder - Create anything with widgets and elements
Edit any type of content - Blog posts, publications, talks, slides, projects, and more!
Create content in Markdown, Jupyter, or RStudio
Plugin System - Fully customizable color and font themes
Display Code and Math - Code highlighting and LaTeX math supported
Integrations - Google Analytics, Disqus commenting, Maps, Contact Forms, and more!
Beautiful Site - Simple and refreshing one page design
Industry-Leading SEO - Help get your website found on search engines and social media
Media Galleries - Display your images and videos with captions in a customizable gallery
Mobile Friendly - Look amazing on every screen with a mobile friendly version of your site
Multi-language - 34+ language packs including English, 中文, and Português
Multi-user - Each author gets their own profile page
Privacy Pack - Assists with GDPR
Stand Out - Bring your site to life with animation, parallax backgrounds, and scroll effects
One-Click Deployment - No servers. No databases. Only files.

Themes

Wowchemy and its templates come with automatic day (light) and night (dark) mode built-in. Alternatively, visitors can choose their preferred mode - click the moon icon in the top right of the Demo to see it in action! Day/night mode can also be disabled by the site admin in params.toml.

Choose a stunning theme and font for your site. Themes are fully customizable.

License

Released under the MIT license.

Motion Planning for Autonomous Driving With Extended Constrained Iterative LQR

Thu, 15 Oct 2020 16:30:50 +0800

End-to-End Autonomous Driving Perception with Sequential Latent Representation Learning

Mon, 05 Oct 2020 16:30:50 +0800

Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety

Fri, 25 Oct 2019 16:30:50 +0800

Model-Free Deep Reinforcement Learning for Urban Autonomous Driving

Tue, 15 Oct 2019 16:30:50 +0800

Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network

Wed, 15 May 2019 16:30:50 +0800

Autonomous Driving Motion Planning With Constrained Iterative LQR

Fri, 15 Feb 2019 16:30:50 +0800

Slides

Tue, 05 Feb 2019 00:00:00 +0000

Create slides in Markdown with Wowchemy

Wowchemy | Documentation

Features

Efficiently write slides in Markdown
3-in-1: Create, Present, and Publish your slides
Supports speaker notes
Mobile friendly slides

Controls

Next: Right Arrow or Space
Previous: Left Arrow
Start: Home
Finish: End
Overview: Esc
Speaker notes: S
Fullscreen: F
Zoom: Alt + Click
PDF Export

Code Highlighting

Inline code: variable

Code block:

porridge = "blueberry"
if porridge == "blueberry":
    print("Eating...")

Math

In-line math: $x + y = z$

Block math:

$$ f\left( x \right) = ;\frac{{2\left( {x + 4} \right)\left( {x - 4} \right)}}{{\left( {x + 4} \right)\left( {x + 1} \right)}} $$

Fragments

Make content appear incrementally

{{% fragment %}} One {{% /fragment %}}
{{% fragment %}} **Two** {{% /fragment %}}
{{% fragment %}} Three {{% /fragment %}}

Press Space to play!

One Two Three

A fragment can accept two optional parameters:

class: use a custom style (requires definition in custom CSS)
weight: sets the order in which a fragment appears

Speaker Notes

Add speaker notes to your presentation

{{% speaker_note %}}

- Only the speaker can read these notes
- Press `S` key to view
  {{% /speaker_note %}}

Press the S key to view the speaker notes!

Themes

black: Black background, white text, blue links (default)
white: White background, black text, blue links
league: Gray background, white text, blue links
beige: Beige background, dark text, brown links
sky: Blue background, thin dark text, blue links

night: Black background, thick white text, orange links
serif: Cappuccino background, gray text, brown links
simple: White background, black text, blue links
solarized: Cream-colored background, dark green text, blue links

Custom Slide

Customize the slide style and background

{{< slide background-image="/media/boards.jpg" >}}
{{< slide background-color="#0000FF" >}}
{{< slide class="my-style" >}}

Custom CSS Example

Let’s make headers navy colored.

Create assets/css/reveal_custom.css with:

.reveal section h1,
.reveal section h2,
.reveal section h3 {
  color: navy;
}

Questions?

Ask

Documentation

Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks

Mon, 15 Oct 2018 16:30:50 +0800

FOAD: Fast Optimization-based Autonomous Driving Motion Planner

Sat, 15 Sep 2018 16:30:50 +0800

Deep Hierarchical Reinforcement Learning for Autonomous Driving with Distinct Behaviors

Sun, 15 Jul 2018 16:30:50 +0800

Continuous Decision Making for On-Road Autonomous Driving under Uncertain and Interactive Environments

Sat, 14 Jul 2018 16:30:50 +0800

Iterative Cross Learning on Noisy Labels

Thu, 15 Mar 2018 16:30:50 +0800

Constrained Iterative LQR for On-Road Autonomous Driving Motion Planning

Sun, 15 Oct 2017 16:30:50 +0800

Spatially-Partitioned Environmental Representation and Planning Architecture for On-Road Autonomous Driving

Sat, 15 Jul 2017 16:30:50 +0800

The Robustly-Safe Automated Driving System for Enhanced Active Safety

Sat, 15 Apr 2017 16:30:50 +0800

Example Project

Wed, 27 Apr 2016 00:00:00 +0000

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Mon, 01 Jan 0001 00:00:00 +0000

Jianyu Chen

Example Talk

Model-Free Safe Reinforcement Learning through Neural Barrier Certificate

Chance-Constrained Iterative Linear-Quadratic Stochastic Games

Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control

Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward

Unsupervised Skill Discovery via Recurrent Skill Training

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning

A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation

Flow-based Recurrent Belief State Learning for POMDPs

Reachability Constrained Reinforcement Learning

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer

Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning

Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning

Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study

Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss

Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian

Scale-Equivalent Distillation for Semi-Supervised Object Detection

Model-based Actor-Critic with Chance Constraint for Stochastic System

Model-Based Reinforcement Learning via Imagination with Derived Memory

Belief State Separated Reinforcement Learning for Autonomous Vehicle Decision Making under Uncertainty

Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning

Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning

A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning

Enable Faster and Smoother Spatio-Temporal Trajectory Planning for Autonomous Vehicles in Constrained Dynamic Environment

Interpretable End-to-End Urban Autonomous Driving with Latent Deep Reinforcement Learning

Reinforced Optimal Estimator

Welcome to Wowchemy, the website builder for Hugo

Overview

Get Started

Crowd-funded open-source software

❤️ Click here to become a sponsor and help support Wowchemy’s future ❤️

Ecosystem

Inspiration

Features

Themes

License

Motion Planning for Autonomous Driving With Extended Constrained Iterative LQR

End-to-End Autonomous Driving Perception with Sequential Latent Representation Learning

Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety

Model-Free Deep Reinforcement Learning for Urban Autonomous Driving

Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network

Autonomous Driving Motion Planning With Constrained Iterative LQR

Slides

Create slides in Markdown with Wowchemy

Features

Controls

Code Highlighting

Math

Fragments

Speaker Notes

Themes

Custom Slide

Custom CSS Example

Questions?

Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks

FOAD: Fast Optimization-based Autonomous Driving Motion Planner

Deep Hierarchical Reinforcement Learning for Autonomous Driving with Distinct Behaviors

Continuous Decision Making for On-Road Autonomous Driving under Uncertain and Interactive Environments

Iterative Cross Learning on Noisy Labels

Constrained Iterative LQR for On-Road Autonomous Driving Motion Planning

Spatially-Partitioned Environmental Representation and Planning Architecture for On-Road Autonomous Driving

The Robustly-Safe Automated Driving System for Enhanced Active Safety

Example Project