Adversarial Attacks in Reinforcement Learning

This repository serves code, blogs and other related work pertaining to the 'Adversarial Attacks in Reinforcement Learning'

Following are the posts on the blog:

• Survey on Adversarial Attacks and Defenses in Reinforcement Learning

• Proximal Policy Optimization

• Trust Region Policy Optimization

• Understanding Policy Gradients

• Temporal-Difference Learning

For the code, checkout this repository.

Team

• Madhuparna Bhowmik
• Akash Nair
• Saurabh Agarwala
• Videh Raj Nema
• Kinshuk Kashyap
• Manav Singhal

Mentor: Moksh Jain