
Notes on Trust Region Policy Optimization
A summary of Schulman et al 2016 paper

Revisit Maximum Entropy Inverse Reinforcement Learning
A summary of Ziebart et al's 2008 Max Ent. paper

Revisit Linear Inverse Reinforcement Learning
A summary of Ng & Russell's 2000 IRL paper

Learn Reinforcement Learning by Coding (2)
Policy Gradient, ActorCritic

Solving OpenAI Gym Cartpole with Qlearning
Qlearning agent learns to balance the pole connected to a cart

Inverse Reinforcement Learning
My notes of inverse reinforcement learning with a collection of resources.

Learn Reinforcement Learning by Coding (1)
Value Iteration, Policy Iteration, Qlearning and Monte Carlo method

Path Planning on Aerial Image by Imitation Learning
Learn a cost map on aerial image from demonstrations