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Thomas Lampe — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Thomas Lampe
19
papers ·
1069
citations ·
16
h-index
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Most-cited papers
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
2017 · 510 citations
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
Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer
2019 · 16 citations
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation
2022 · 9 citations
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models
2019 · 6 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
Replay across Experiments: A Natural Extension of Off-Policy RL
2023 · 1 citations
Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup
2019
Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning
2024
Game On: Towards Language Models as RL Experimenters
2024
Top co-authors
Martin Riedmiller
· 12
Abbas Abdolmaleki
· 10
Nicolas Heess
· 9
Roland Hafner
· 8
Jost Tobias Springenberg
· 7
Michael Neunert
· 7
Markus Wulfmeier
· 4
Tim Hertweck
· 3
Arunkumar Byravan
· 2
Benjamin M. Moran
· 2
Dhruva Tirumala
· 2
Francesco Nori
· 2
Topics
Exploration
Meta-RL
Offline RL
Model-Based RL
Policy Gradient
Value-Based
Safe RL
Multi-Agent
Game AI