Ted Moskovitz
11 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Cross-Pollinator (14) π Conference Polyglot (4) π Interdisciplinary Bridge
π
Triple Crown
π₯
Unstoppable
(5)
π
Century Club
(11)
β
The Questioner
Conferences
ICLR (4)
ICML (3)
NIPS (3)
AISTATS (1)
Top co-authors
Keywords
reinforcement learning
(2)
policy evaluation
(1)
neural network training
(1)
policy optimization
(1)
policy gradient
(1)
in-context learning
(1)
multitask learning
(1)
neural network optimization
(1)
natural gradient
(1)
continuous control
(1)
state representation
(1)
off-policy learning
(1)
l2 regularization
(1)
constrained markov decision process
(1)
synthetic datum
(1)
last-iterate convergence
(1)
optimistic method
(1)
in-weights learning
(1)
successor representation
(1)
gradient descent-ascent
(1)
Papers
Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
ICML 2025
What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
ICML 2024
Confronting Reward Model Overoptimization with Constrained RLHF
ICLR 2024
Minimum Description Length Control
ICLR 2023
The Transient Nature of Emergent In-Context Learning in Transformers
NIPS 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
ICML 2023
A State Representation for Diminishing Rewards
NIPS 2023
A First-Occupancy Representation for Reinforcement Learning
ICLR 2022
Towards an Understanding of Default Policies in Multitask Policy Optimization
AISTATS 2022
Tactical Optimism and Pessimism for Deep Reinforcement Learning
NIPS 2021
Efficient Wasserstein Natural Gradients for Reinforcement Learning
ICLR 2021