On actions that matter: credit assignment and interpretability in reinforcement learning. (De l'importance des actions: assignation de crédit et interprétabilité pour l'apprentissage par renforcement).

[BibT_eX]

[DOI]

Johan Ferret

PhD thesis, 2022

Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act.

[BibT_eX]

[DOI]

CoRR, 2022

Lazy-MDPs: Towards Interpretable RL by Learning When to Act.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences.

[BibT_eX]

[DOI]

CoRR, 2021

There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarially Guided Actor-Critic.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Self-Imitation Advantage Learning.

[BibT_eX]

[DOI]

Johan Ferret

Olivier Pietquin

Matthieu Geist

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Self-Attentional Credit Assignment for Transfer in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Credit Assignment as a Proxy for Transfer in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Johan Ferret

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