A reusable framework for successor features for transfer in deep reinforcement learning using keras.
-
Updated
May 11, 2021 - Python
A reusable framework for successor features for transfer in deep reinforcement learning using keras.
Deep Successor Representation
Code for the paper Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer - ICML 2022
Python implementation of SR-Dyna from Russek, Momennejad et al 2017
Implementing the DCEO Algorithm (with some modifications!) from Klissarov and Machado (2023).
Add a description, image, and links to the successor-representation topic page so that developers can more easily learn about it.
To associate your repository with the successor-representation topic, visit your repo's landing page and select "manage topics."