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Markus Wulfmeier โ most-cited papers & profile ยท Reinforcement Learning
โ authors
ยท
overview
Markus Wulfmeier
26
papers ยท
250
citations ยท
16
h-index
Google DeepMind (United Kingdom) ยท Google (United Kingdom) ยท Goldsmiths University of London
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Reverse Curriculum Generation for Reinforcement Learning
2017 ยท 140 citations
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
2020 ยท 27 citations
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
2021 ยท 15 citations
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
2020 ยท 10 citations
The Challenges of Exploration for Offline Reinforcement Learning
2022 ยท 8 citations
Attention-Privileged Reinforcement Learning
2019 ยท 6 citations
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
2023 ยท 6 citations
Incorporating Human Domain Knowledge into Large Scale Cost Function Learning
2016 ยท 3 citations
Simple Sensor Intentions for Exploration
2020 ยท 3 citations
Solving Continuous Control via Q-learning
2022 ยท 3 citations
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
2021 ยท 2 citations
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
2024 ยท 2 citations
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
2022 ยท 1 citations
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
2023 ยท 1 citations
Replay across Experiments: A Natural Extension of Off-Policy RL
2023 ยท 1 citations
Top co-authors
Martin Riedmiller
ยท 14
Nicolas Heess
ยท 9
Arunkumar Byravan
ยท 6
Michael Bloesch
ยท 6
Roland Hafner
ยท 6
Dhruva Tirumala
ยท 5
Tim Hertweck
ยท 5
Abbas Abdolmaleki
ยท 4
Jost Tobias Springenberg
ยท 4
Michael Neunert
ยท 4
Thomas Lampe
ยท 4
Tuomas Haarnoja
ยท 4
Topics
Exploration
Model-Based RL
Value-Based
Meta-RL
Offline RL
Multi-Agent
Safe RL
Policy Gradient
Game AI
RLHF & Alignment