Tyler Kastner
3 papers · 2021–2025 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
Top co-authors
Research topics
Keywords
deep reinforcement learning
(1)
representation learning
(1)
distributional reinforcement learning
(1)
markov decision process
(1)
kullback-leibler divergence
(1)
asymptotic variance
(1)
convergence
(1)
risk-sensitive reinforcement learning
(1)
state similarity
(1)
categorical distribution
(1)
behavioural distance
(1)
model equivalence
(1)
learning rate regimes
(1)
preconditioned algorithm
(1)
Papers
Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics
ICML 2025
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning
NeurIPS 2023
MICo: Improved representations via sampling-based state similarity for Markov decision processes
NeurIPS 2021