Adam Gleave Presents “Multi-task Maximum Causal Entropy Inverse Reinforcement Learning”

15 Jul 2018

CHAI’s Adam Gleave and another researcher from Berkeley published this paper in arXiv and presented at GoalsRL Workshop at FAIM. The abstract reads:

Three CHAI Researchers Present at the GoalsRL Workshop

14 Jul 2018

Adam Gleave and Rohin Shah attended the 2018 GoalsRL Workshop and presented the paper Active Inverse Reward Design and Adam additionally presented a paper on Multi-task Maximum Entropy Inverse Reinforcement Learning. Also, Daniel Filan presented the paper Exploring Hierarchy-Aware Inverse Reinforcement Learning.

CHAI’s Adam Gleave and Rohin Shah Present “Active Inverse Reward Design”

Two of CHAI’s researchers presented this paper at the 1st Workshop on Goal Specifications for Reinforcement Learning, FAIM 2018. The abstract reads:

Daniel Filan Presents “Exploring Hierarchy-Aware Inverse Reinforcement Learning”

13 Jul 2018

CHAI’s Daniel Filan traveled to Stockholm, Sweden to present this paper at the 1st Workshop on Goal Specifications for Reinforcement Learning, FAIM 2018. The abstract reads:

CHAI’s Anca Dragan and Smitha Milli Publish Paper on “Model Reconstruction from Model Explanations”

Two researchers from CHAI, Anca Dragan and Smitha Milli, published this paper together in arXiv along with a few other researchers from Berkeley. The abstract reads:

Thomas Krendl Gilbert Publishes “A Broader View on Bias in Automated Decision-Making – Reflecting on Epistemology and Dynamics”

02 Jul 2018

CHAI’s Thomas Gilbert and his colleagues at UC Berkeley recently published this paper to arXiv and presented it at the 2018 International Conference on Machine Learning. The abstract reads:

Daniel Filan Posts on Mechanistic Transparency for Machine Learning in the AI Alignment Forum

10 Jun 2018

CHAI’s Daniel Filan’s blog post Mechanistic Transparency for Machine Learning posted on the AI Alignment Forum. You can read the blog post here.

How the Enlightenment Ends

01 Jun 2018

Henry Kissenger writes about the rise of artificial intelligence. Read the article here.

Anca Dragan Publishes “Probabilistically Safe Robot Planning with Confidence-Based Human Predictions”

31 May 2018

The paper published in arXiv and supported by the National Science Foundation deals with human-computer interaction and having robots be able to navigate around moving people properly. The abstract reads:

CHAI’s Rohin Shah Creates New Newsletter for AI Alignment

23 Apr 2018

CHAI PhD student Rohin Shah created this new newsletter for everyone involved in AI Safety to keep up to date on research in the field.