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Josh Merel — most-cited papers & profile · Reinforcement Learning
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Josh Merel
16
papers ·
1855
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Emergence of Locomotion Behaviours in Rich Environments
2017 · 670 citations
DeepMind Control Suite
2018 · 524 citations
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
2018 · 215 citations
Learning human behaviors from motion capture by adversarial imitation
2017 · 155 citations
Critic Regularized Regression
2020 · 90 citations
Emergent Coordination Through Competition
2019 · 56 citations
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
2020 · 9 citations
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
2020 · 9 citations
Local Search for Policy Iteration in Continuous Control
2020 · 8 citations
Learning Dynamics Models for Model Predictive Agents
2021 · 4 citations
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning
2021 · 4 citations
Deep Dive into Model-free Reinforcement Learning for Biological and Robotic Systems: Theory and Practice
2024 · 3 citations
Data augmentation for efficient learning from parametric experts
2022 · 2 citations
Top co-authors
Nicolas Heess
· 10
Yuval Tassa
· 5
Ziyu Wang
· 4
Martin Riedmiller
· 3
Tom Erez
· 3
Abbas Abdolmaleki
· 2
Alexander Novikov
· 2
Arunkumar Byravan
· 2
Caglar Gulcehre
· 2
Daniel Mankowitz
· 2
Dhruva TB
· 2
Gabriel Dulac-Arnold
· 2
Topics
Policy Gradient
Model-Based RL
Offline RL
Exploration
Value-Based
Meta-RL
Multi-Agent
Game AI
Safe RL