Stefano V. Albrecht
5 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(17)
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Research topics
Keywords
causal inference
(1)
deep reinforcement learning
(1)
multi-agent reinforcement learning
(1)
contrastive learning
(1)
few-shot learning
(1)
probabilistic modeling
(1)
imitation learning
(1)
transfer learning
(1)
probabilistic inference
(1)
preference alignment
(1)
policy learning
(1)
mutual information
(1)
partial observability
(1)
zero-shot generalization
(1)
meta-reinforcement learning
(1)
task planning
(1)
few-shot transfer
(1)
noise contrastive estimation
(1)
dynamic bayesian network
(1)
reward machine
(1)
Papers
LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots
COLING 2025
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
AAAI 2024
Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning
NeurIPS 2024
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning
JMLR 2023
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract)
IJCAI 2017