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Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning

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Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning

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Surprise-based model estimation in reinforcement learning: algorithms and brain signatures

Improving Multi-agent Coordination by Learning to Estimate Contention

Improving Multi-agent Coordination by Learning to Estimate Contention

Landscape and training regimes in deep learning

Neural Correlates of Reinforcement Learning: eligibility trace, reward prediction error, novelty and surprise

Learning Control

One-shot learning and eligibility traces in sequential decision making

Learning Control

Evidence for eligibility traces in human learning

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning

Landscape and training regimes in deep learning

Surprise-based model estimation in reinforcement learning: algorithms and brain signatures

Improving Multi-agent Coordination by Learning to Estimate Contention

Neural Correlates of Reinforcement Learning: eligibility trace, reward prediction error, novelty and surprise

Improving Multi-agent Coordination by Learning to Estimate Contention

One-shot learning and eligibility traces in sequential decision making

Learning Control

Learning Control

Evidence for eligibility traces in human learning

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning