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11/20/2022
Adversarial Cheap Talk
Adversarial attacks in reinforcement learning (RL) often assume highly-p...
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10/11/2022
Discovered Policy Optimisation
Tremendous progress has been made in reinforcement learning (RL) over th...
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03/08/2022
COLA: Consistent Learning with Opponent-Learning Awareness
Learning in general-sum games can be unstable and often leads to sociall...
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11/16/2021
Polymatrix Competitive Gradient Descent
Many economic games and machine learning approaches can be cast as compe...
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11/12/2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
Over the last decade, a single algorithm has changed many facets of our ...
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05/26/2020
On the Impossibility of Global Convergence in Multi-Loss Optimization
Under mild regularity conditions, gradient-based methods converge global...
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05/13/2019
Differentiable Game Mechanics
Deep learning is built on the foundational guarantee that gradient desce...
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11/20/2018
Stable Opponent Shaping in Differentiable Games
A growing number of learning methods are actually games which optimise m...
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11/14/2017
Automatic Conflict Detection in Police Body-Worn Audio
Automatic conflict detection has grown in relevance with the advent of b...
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11/14/2017