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Benjamin Rosman — most-cited papers & profile · Reinforcement Learning
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Benjamin Rosman
23
papers ·
50
citations
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Semantic Scholar ↗
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Most-cited papers
A Boolean Task Algebra for Reinforcement Learning
2020 · 12 citations
Online Constrained Model-based Reinforcement Learning
2020 · 10 citations
Hierarchical Subtask Discovery With Non-Negative Matrix Factorization
2017 · 5 citations
Transfer Learning for Prosthetics Using Imitation Learning
2019 · 3 citations
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
2022 · 2 citations
Reinforcement Learning in Education: A Multi-Armed Bandit Approach
2022 · 2 citations
Sophisticated Learning: A novel algorithm for active learning during model-based planning
2023 · 2 citations
Will it Blend? Composing Value Functions in Reinforcement Learning
2018 · 1 citations
World Value Functions: Knowledge Representation for Learning and Planning
2022 · 1 citations
ROSARL: Reward-Only Safe Reinforcement Learning
2023 · 1 citations
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
2023 · 1 citations
Unsupervised Hierarchical Skill Discovery
2026
Compositional Instruction Following with Language Models and Reinforcement Learning
2025
Generalisable Agents For Neural Network Optimisation
2023
Hierarchy through Composition with Linearly Solvable Markov Decision Processes
2016
Top co-authors
Geraud Nangue Tasse
· 9
Steven James
· 8
Adam Earle
· 2
Andrew M. Saxe
· 2
Benjamin van Niekerk
· 2
Devon Jarvis
· 2
Michael Beukman
· 2
Adam C. Earle
· 1
Andreas Damianou
· 1
Arnu Pretorius
· 1
Branden Ingram
· 1
Branden Ingram
· 1
Topics
Meta-RL
Model-Based RL
Value-Based
Game AI
Multi-Agent
Exploration
Safe RL
RLHF & Alignment
Policy Gradient