Michael Gimelfarb
6 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (7)
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(14)
π
Conference Pioneer
Conferences
NIPS (2)
UAI (2)
AAAI (1)
ICLR (1)
Top co-authors
Keywords
reinforcement learning
(3)
transfer learning
(2)
bayesian model combination
(2)
value function
(1)
value iteration
(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)
exploration-exploitation trade-off
(1)
multi-expert learning
(1)
model-free learning
(1)
deep q-learning
(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
Risk-Aware Transfer in Reinforcement Learning using Successor Features
NIPS 2021
Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts
UAI 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
NIPS 2018