Philip Amortila
10 papers · 2020–2024 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (4)
π
Renaissance Researcher
(5)
π
Triple Crown
π
Century Club
(10)
π₯
Unstoppable
(5)
Conferences
ICML (3)
COLT (2)
NIPS (2)
AISTATS (1)
ALT (1)
ICLR (1)
Top co-authors
Keywords
markov decision process
(4)
reinforcement learning
(4)
optimal policy
(2)
sample efficiency
(1)
imitation learning
(1)
policy optimization
(1)
offline reinforcement learning
(1)
convergence analysis
(1)
sample complexity
(1)
policy learning
(1)
distributional reinforcement learning
(1)
policy iteration
(1)
covariate shift
(1)
value function
(1)
value iteration
(1)
function approximation
(1)
value function approximation
(1)
distribution shift
(1)
off-policy learning
(1)
robust optimization
(1)
Papers
Scalable Online Exploration via Coverability
ICML 2024
Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity
NIPS 2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning
COLT 2024
Harnessing Density Ratios for Online Reinforcement Learning
ICLR 2024
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation
ICML 2023
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation
NIPS 2022
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function
COLT 2021
Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions
ALT 2021
Constrained Markov Decision Processes via Backward Value Functions
ICML 2020
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms
AISTATS 2020