Esther Derman
7 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (14) π Conference Pioneer
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Keywords
markov decision process
(4)
robust markov decision process
(3)
policy iteration
(2)
policy gradient
(2)
bayesian learning
(1)
model misspecification
(1)
robust reinforcement learning
(1)
value function
(1)
dynamic programming
(1)
model-based reinforcement learning
(1)
reward function
(1)
monte carlo tree search
(1)
quantile optimization
(1)
uncertainty set
(1)
deep q-network
(1)
safe exploration
(1)
non-stationary policy
(1)
state augmentation
(1)
frequency regularization
(1)
non-rectangular uncertainty
(1)
Papers
Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis
AISTATS 2025
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization
AAAI 2024
Tree Search-Based Policy Optimization under Stochastic Execution Delay
ICLR 2024
Policy Gradient for Rectangular Robust Markov Decision Processes
NeurIPS 2023
Acting in Delayed Environments with Non-Stationary Markov Policies
ICLR 2021
Twice regularized MDPs and the equivalence between robustness and regularization
NeurIPS 2021
A Bayesian Approach to Robust Reinforcement Learning
UAI 2019