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
Cross-session memory for MCP agents — episodic + semantic, recall ranked by a successor-representation prior.
Implementing the DCEO Algorithm (with some modifications!) from Klissarov and Machado (2023).
TMLR 2026: Constrained Reinforcement Learning Using Successor Representations
Importance sampling de-biases the successor representation for a more general and efficient representation of the environment.
[HuMoWM@ECCV2026] Executable Behaviour Representations
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