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Roland Hafner — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Roland Hafner
20
papers ·
551
citations ·
16
h-index
Google (United States) · Google DeepMind (United Kingdom) · Google (United Kingdom)
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Most-cited papers
Learning by Playing - Solving Sparse Reward Tasks from Scratch
2018 · 155 citations
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
2017 · 118 citations
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
2020 · 48 citations
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
2020 · 27 citations
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
2020 · 10 citations
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models
2019 · 6 citations
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
2023 · 6 citations
Collect & Infer -- a fresh look at data-efficient Reinforcement Learning
2021 · 4 citations
Simple Sensor Intentions for Exploration
2020 · 3 citations
Offline Actor-Critic Reinforcement Learning Scales to Large Models
2024 · 2 citations
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
2022 · 1 citations
NFQ2.0: The CartPole Benchmark Revisited
2025
Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement
2025
Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup
2019
Less is more -- the Dispatcher/ Executor principle for multi-task Reinforcement Learning
2023
Top co-authors
Martin Riedmiller
· 15
Nicolas Heess
· 13
Jost Tobias Springenberg
· 8
Thomas Lampe
· 8
Abbas Abdolmaleki
· 7
Michael Neunert
· 7
Markus Wulfmeier
· 6
Michael Bloesch
· 5
Tim Hertweck
· 5
Francesco Nori
· 3
Arunkumar Byravan
· 2
Dhruva Tirumala
· 2
Topics
Meta-RL
Value-Based
Offline RL
Exploration
Model-Based RL
Multi-Agent
Policy Gradient
Safe RL
Game AI