Publication

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

Publications associées (94)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

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

Graph Chatbot

Chattez avec Graph Search

Social NCE: Contrastive Learning of Socially-aware Motion Representations

Ageing and reinforcement learning

Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates

Improving Multi-agent Coordination by Learning to Estimate Contention

Improving Multi-agent Coordination by Learning to Estimate Contention

Optimal Adversarial Policies in the Multiplicative Learning System With a Malicious Expert

Routing of Electric Vehicles With Intermediary Charging Stations: A Reinforcement Learning Approach

Deep Reinforcement Learning for room temperature control: a black-box pipeline from data to policies

Distributed Meta-Learning with Networked Agents

Bias free multiobjective active learning for materials design and discovery

Social NCE: Contrastive Learning of Socially-aware Motion Representations

Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates

Improving Multi-agent Coordination by Learning to Estimate Contention

Deep Reinforcement Learning for room temperature control: a black-box pipeline from data to policies

Ageing and reinforcement learning

Improving Multi-agent Coordination by Learning to Estimate Contention

Optimal Adversarial Policies in the Multiplicative Learning System With a Malicious Expert

Distributed Meta-Learning with Networked Agents

Bias free multiobjective active learning for materials design and discovery

Routing of Electric Vehicles With Intermediary Charging Stations: A Reinforcement Learning Approach