Jump to: Navigation
Reinforcement Learning
RL has picked up a significant pace in the machine learning world.
This series is dedicated to various algorithms that RL encompasses and some use cases.
Below snapshot taken from OpenAI, a leading research group, summarizes the various algorithms used in this space.
Policy Methods
Posts pertaining to Policy methods in Reinforcement Learning
- Deep Determinsitic Policy Gradient Algorithm
- Asynchronous Advantage Actor Critic Methods
- Actor Critic Methods
- Policy Gradient - REINFORCE
- Policy Optimization - Part 0
RL Applications
Posts pertaining to applications of RL in the world of Finance