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
The hippoabstraction repository contains all code for my MSc thesis project.
Implementing the DCEO Algorithm (with some modifications!) from Klissarov and Machado (2023).
Importance sampling de-biases the successor representation for a more general and efficient representation of the environment.
Prioritized memories activation using Reinforcement Learning
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