Hado P van Hasselt
16 papers · 2014–2023 · 1 conference · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (9) πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
π
Cross-Pollinator
(15)
π€
Dynamic Duo
(10)
π±
Topic Pioneer
π§¬
Topic Evolution
π
Trend Setter
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(58)
π
Century Club
(16)
β
The Questioner
Conferences
NIPS (16)
Top co-authors
Keywords
reinforcement learning
(9)
value function
(6)
credit assignment
(3)
policy gradient
(2)
auxiliary task
(2)
model-based reinforcement learning
(2)
off-policy learning
(2)
online learning
(2)
multi-task learning
(1)
policy learning
(1)
temporal difference learning
(1)
deep learning
(1)
neural network optimization
(1)
continual reinforcement learning
(1)
representation learning
(1)
function approximation
(1)
gradient descent
(1)
continual learning
(1)
importance sampling
(1)
forward model
(1)
Papers
Optimistic Meta-Gradients
NIPS 2023
A Definition of Continual Reinforcement Learning
NIPS 2023
Self-Consistent Models and Values
NIPS 2021
Discovery of Options via Meta-Learned Subgoals
NIPS 2021
Discovering Reinforcement Learning Algorithms
NIPS 2020
Forethought and Hindsight in Credit Assignment
NIPS 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
NIPS 2020
A Self-Tuning Actor-Critic Algorithm
NIPS 2020
Discovery of Useful Questions as Auxiliary Tasks
NIPS 2019
When to use parametric models in reinforcement learning?
NIPS 2019
Hindsight Credit Assignment
NIPS 2019
Meta-Gradient Reinforcement Learning
NIPS 2018
Successor Features for Transfer in Reinforcement Learning
NIPS 2017
Natural Value Approximators: Learning when to Trust Past Estimates
NIPS 2017
Learning values across many orders of magnitude
NIPS 2016
Weighted importance sampling for off-policy learning with linear function approximation
NIPS 2014