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AlphaFold
AlphaFold can accurately predict 3D models of protein structures and has the potential to accelerate research in every field of biology.
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Meta-Gradients in Nonstationary Environments
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Reconstructing Training Data with Informed Adversaries: Attacks and Mitigations
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Learning Robust Real-Time Cultural Transmission without Human Data
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Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO
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Probing Image-Language Transformers for Verb Understanding
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Message passing all the way up
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Magnetic Control of Tokamak Plasmas Through Deep Reinforcement Learning
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Large-scale representation learning on graphs via bootstrapping
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Abstraction for Deep Reinforcement Learning
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Competition-Level Code Generation using Deep Language Models
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Red Teaming Language Models with Language Models
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Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent
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Online Apprenticeship Learning
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Physical Design using Differentiable Learned Simulators
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Warmth and competence in human-agent cooperation
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NeuPL: Neural Population Learning
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Learning more skills through optimistic exploration
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Human-centred mechanism design with democratic AI research
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Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents
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Chaining Value Functions for Off-Policy Learning
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Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making
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Learning to be robust and private
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Learned coarse models for efficient turbulence simulation
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On the Role of Neural Collapse in Transfer Learning
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Assessing Human Interaction in Virtual Reality with Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study