Selected Key References

For a more complete list, please see Google Scholar.

(2023). Simplified Temporal Consistency Reinforcement Learning. In Proceedings of the International Conference on Machine Learning (ICML).

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(2023). Hierarchical Imitation Learning with Vector Quantized Models. In Proceedings of the International Conference on Machine Learning (ICML).

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(2022). Curriculum reinforcement learning via constrained optimal transport. In Proceedings of the International Conference on Machine Learning (ICML).

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(2022). Boosted Curriculum Reinforcement Learning. International Conference on Learning Representations (ICLR).

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(2021). Convex Regularization in Monte-Carlo Tree Search. In Proceedings of the International Conference on Machine Learning (ICML).

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(2020). Self-Paced Deep Reinforcement Learning. In Proceedings of the Annual Conference on Neural Information Processing Systems (NeurIPS).

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(2020). Generalized Mean Estimation in Monte-Carlo Tree Search. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI).

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(2019). Projections for Approximate Policy Iteration Algorithms. In Proceedings of the International Conference on Machine Learning (ICML).

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(2011). Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning. In Annual Conference on Neural Information Processing Systems (NeurIPS).

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