Michael Gimelfarb
6 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Reinforcement Learning
(6)
Methods
(6)
Artificial Intelligence
(5)
Machine Learning
(4)
Learning Types · Machine Learning
(4)
Learning Paradigms
(3)
Optimization & Theory
(3)
Core AI
(2)
Deep Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
reinforcement learning
(3)
bayesian model combination
(2)
transfer learning
(2)
epistemic uncertainty
(1)
exploration-exploitation tradeoff
(1)
value function
(1)
value iteration
(1)
continuous control
(1)
policy improvement
(1)
symbolic dynamic programming
(1)
mixture of expert
(1)
utility function
(1)
successor feature
(1)
model-free reinforcement learning
(1)
reward shaping
(1)
q-value function
(1)
policy transfer
(1)
contextual reinforcement learning
(1)
bayesian mixture model
(1)
offline policy optimization
(1)
Papers
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning
AAAI 2025
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
ICLR 2023
Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts
UAI 2021
Risk-Aware Transfer in Reinforcement Learning using Successor Features
NeurIPS 2021
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
UAI 2019
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
NeurIPS 2018