A reusable framework for successor features for transfer in deep reinforcement learning using keras.
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Updated
May 11, 2021 - Python
A reusable framework for successor features for transfer in deep reinforcement learning using keras.
Deep Successor Representation
Official Implementation of SFM and the baselines in Jax.
Code for the paper Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer - ICML 2022
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