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Yuval Tassa — most-cited papers & profile · Reinforcement Learning
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overview
Yuval Tassa
17
papers ·
2312
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
Safe Exploration in Continuous Action Spaces
2018 · 276 citations
Maximum a Posteriori Policy Optimisation
2018 · 167 citations
Learning human behaviors from motion capture by adversarial imitation
2017 · 155 citations
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
2017 · 118 citations
Relative Entropy Regularized Policy Iteration
2018 · 45 citations
Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer
2019 · 16 citations
Local Search for Policy Iteration in Continuous Control
2020 · 8 citations
OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion
2021 · 8 citations
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
2023 · 6 citations
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
2023 · 5 citations
Learning Dynamics Models for Model Predictive Agents
2021 · 4 citations
Top co-authors
Nicolas Heess
· 8
Martin Riedmiller
· 6
Abbas Abdolmaleki
· 5
Josh Merel
· 5
Tom Erez
· 4
Arunkumar Byravan
· 3
Jost Tobias Springenberg
· 3
Dan Belov
· 2
Dhruva TB
· 2
Francesco Nori
· 2
Greg Wayne
· 2
Jackie Kay
· 2
Topics
Policy Gradient
Model-Based RL
Value-Based
Safe RL
Offline RL
Exploration
Multi-Agent
Game AI