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Timothy Lillicrap โ most-cited papers & profile ยท Reinforcement Learning
โ authors
ยท
overview
Timothy Lillicrap
31
papers ยท
4573
citations ยท
60
h-index
Google DeepMind (United Kingdom) ยท Google (United Kingdom)
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
2017 ยท 1084 citations
StarCraft II: A New Challenge for Reinforcement Learning
2017 ยท 685 citations
DeepMind Control Suite
2018 ยท 524 citations
Learning Latent Dynamics for Planning from Pixels
2018 ยท 368 citations
Continuous Deep Q-Learning with Model-based Acceleration
2016 ยท 337 citations
Distributed Distributional Deterministic Policy Gradients
2018 ยท 286 citations
Episodic Curiosity through Reachability
2018 ยท 162 citations
Relational Deep Reinforcement Learning
2018 ยท 160 citations
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
2017 ยท 118 citations
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
2016 ยท 100 citations
Mastering Diverse Domains through World Models
2023 ยท 92 citations
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
2016 ยท 41 citations
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
2018 ยท 25 citations
Large-Scale Retrieval for Reinforcement Learning
2022 ยท 11 citations
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
2017 ยท 9 citations
Top co-authors
Arthur Guez
ยท 5
Nicolas Heess
ยท 5
Sergey Levine
ยท 5
Alistair Muldal
ยท 4
Danijar Hafner
ยท 4
Shixiang Gu
ยท 4
Adam Santoro
ยท 3
David Silver
ยท 3
Th\'eophane Weber
ยท 3
Andrew Jaegle
ยท 2
David Budden
ยท 2
David Raposo
ยท 2
Topics
Value-Based
Model-Based RL
Game AI
Offline RL
Exploration
Policy Gradient
Multi-Agent
Safe RL
Meta-RL
RLHF & Alignment