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Home/Authors/Stefano Albrecht

Stefano Albrecht

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 1:40 PM AMS

5

papers

336

total citations

papers (5)

Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

NEURIPS 2020arXiv

Agent Modelling under Partial Observability for Deep Reinforcement Learning

NEURIPS 2021arXiv

Conditional Mutual Information for Disentangled Representations in Reinforcement Learning

NEURIPS 2023arXiv

Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning

NEURIPS 2022arXiv

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning