DDPG with Parametric Noise Exploration & Prioritized Experience Replay Buffer

This repository implements a DDPG agent with parametric noise for exploration and prioritized experience replay buffer to train the agent faster and better for the openai-gym's "LunarLanderContinuous-v2".

Let's see how fast and better it is!

Agent Profile

1. DDPG + PNE + PER

   

2. Vanilla DDPG (I like Vanilla that is why! :>)

   

Dependencies

Install dependencies using this,

pip install -r requirements.txt 

TODO

- Add adaptive parametric noise for exploration

Contact

• Name: Kanishk Navale
• Email: navalekanishk@gmail.com
• Website: https://kanishknavale.github.io/