Combining Q-Learning and Search with Amortized Value Estimates.
Proceedings of the 8th International Conference on Learning Representations, 2020
Object-oriented state editing for HRL.
CoRR, 2019
Hamiltonian Graph Networks with ODE Integrators.
CoRR, 2019
Structured agents for physical construction.
Proceedings of the 36th International Conference on Machine Learning, 2019
Deep reinforcement learning with relational inductive biases.
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Proceedings of the 7th International Conference on Learning Representations, 2019
Hyperbolic Attention Networks.
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Proceedings of the 7th International Conference on Learning Representations, 2019
Relational inductive bias for physical construction in humans and machines.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
Planting Colourings Silently.
Comb. Probab. Comput., 2017
Distral: Robust multitask reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Sample Efficient Actor-Critic with Experience Replay.
Proceedings of the 5th International Conference on Learning Representations, 2017
Harnessing the Bethe free energy.
Random Struct. Algorithms, 2016
The Condensation Phase Transition in the Regular k-SAT Model.
Proceedings of the Approximation, 2016
A positive temperature phase transition in random hypergraph 2-coloring.
CoRR, 2014
The Condensation Phase Transition in Random Graph Coloring.
Proceedings of the Approximation, 2014
The effect of quantum fluctuations on the coloring of random graphs
CoRR, 2013
The Quantum Adiabatic Algorithm applied to random optimization problems: the quantum spin glass perspective
CoRR, 2012