BDPI
Bootstrapped Dual Policy Iteration: sample-efficient model-free RL with discrete actions
Description:
Two BDPI implementations, both in Python with the OpenAI Gym. The vub-ai-lab one is 100% custom code, and has high-performance multiprocessing (able to leverage 32 cores or more). The sb3-contrib version is part of a well-known repository of RL algorithms with a common API (stable-baselines3), and is made to be very easy to try out by novice users.
More Information:
- Grand Challenge/Workpackage(s): GC3 - WP2
- Responsible Research Lead: Ann Nowé
- Authors: Denis Steckelmacher
- Programming Language: Python
- Link to the repository: https://github.com/vub-ai-lab/bdpi and https://github.com/steckdenis/stable-baselines3-contrib
