David Silver
51 papers
· 2008–2022
· 8 conferences
· across top CS/AI conferences
Achievements
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Cross-Pollinator
(5)
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Keyword Pioneer
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Conference Polyglot
(8)
π£
Hot Topic Early Bird
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(22)
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Interdisciplinary Bridge
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Academic Marathon
(14)
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Conference Loyalist
(23)
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Keyword Trendsetter Combo
(6)
π€
Dynamic Duo
(15)
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Triple Crown
π±
Topic Pioneer
π§¬
Topic Evolution
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Keyword Champion
(3)
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Grand Slam
π¬
Deep Specialist
(26)
ποΈ
Keyword Collector
(85)
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Trend Setter
π₯
Unstoppable
(15)
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Conference Pioneer
β‘
Prolific Year
(7)
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Century Club
(51)
β
The Questioner
Conferences
NIPS (23)
ICML (15)
ICLR (7)
AAAI (2)
ACL (1)
AISTATS (1)
IJCAI (1)
RSS (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(16)
value function
(11)
model-based reinforcement learning
(9)
deep reinforcement learning
(6)
temporal-difference learning
(5)
neural network
(4)
successor feature
(3)
value function approximation
(3)
credit assignment
(3)
representation learning
(3)
exploration exploitation
(3)
policy improvement
(3)
transfer learning
(3)
value iteration
(3)
policy gradient
(3)
hierarchical reinforcement learning
(3)
continuous control
(3)
function approximation
(3)
online learning
(3)
monte carlo tree search
(3)
Papers
Learning by Directional Gradient Descent
ICLR 2022
Bootstrapped Meta-Learning
ICLR 2022
Proper Value Equivalence
NIPS 2021
Self-Consistent Models and Values
NIPS 2021
Expected Eligibility Traces
AAAI 2021
Value-driven Hindsight Modelling
NIPS 2020
A Self-Tuning Actor-Critic Algorithm
NIPS 2020
An Investigation of Model-Free Planning
ICML 2019
Meta-Gradient Reinforcement Learning
NIPS 2018
Learning to search with MCTSnets
ICML 2018
Smooth UCT Search in Computer Poker
IJCAI 2015
Universal Value Function Approximators
ICML 2015
Deterministic Policy Gradient Algorithms
ICML 2014
Monte-Carlo Planning in Large POMDPs
NIPS 2010
Bootstrapping from Game Tree Search
NIPS 2009