Omer Gottesman
16 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (10)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(23)
π
Interdisciplinary Bridge
π
Grand Slam
π§¬
Topic Evolution
π
Century Club
(16)
ποΈ
Keyword Collector
(59)
π
Trend Setter
π₯
Unstoppable
(8)
Conferences
NIPS (7)
ICML (3)
AISTATS (2)
ICLR (2)
AAAI (1)
MLHC (1)
Top co-authors
Keywords
reinforcement learning
(4)
off-policy evaluation
(3)
importance sampling
(2)
value function
(2)
deep reinforcement learning
(2)
markov decision process
(2)
causal inference
(2)
state representation
(2)
nonparametric model
(1)
hierarchical reinforcement learning
(1)
iterative optimization
(1)
tensor decomposition
(1)
model-based reinforcement learning
(1)
convergence analysis
(1)
continuous control
(1)
causal reasoning
(1)
dynamic programming
(1)
offline reinforcement learning
(1)
temporal difference learning
(1)
sample efficiency
(1)
Papers
Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces
ICLR 2025
Decision-Focused Model-based Reinforcement Learning for Reward Transfer
MLHC 2024
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
NIPS 2024
Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning
NIPS 2023
TD Convergence: An Optimization Perspective
NIPS 2023
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs
ICLR 2023
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces
AISTATS 2023
Optimistic Initialization for Exploration in Continuous Control
AAAI 2022
Faster Deep Reinforcement Learning with Slower Online Network
NIPS 2022
State Relevance for Off-Policy Evaluation
ICML 2021
Learning Markov State Abstractions for Deep Reinforcement Learning
NIPS 2021
Learning to search efficiently for causally near-optimal treatments
NIPS 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
ICML 2020
Combining parametric and nonparametric models for off-policy evaluation
ICML 2019
Weighted Tensor Decomposition for Learning Latent Variables with Partial Data
AISTATS 2018
Representation Balancing MDPs for Off-policy Policy Evaluation
NIPS 2018