Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Marc Toussaint — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Marc Toussaint
23
papers ·
400
citations ·
42
h-index
Stuttgart Technical University of Applied Sciences · Technische Universität Berlin
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Reinforcement Learning with Neural Radiance Fields
2022 · 15 citations
Qgraph-bounded Q-learning: Stabilizing Model-Free Off-Policy Deep Reinforcement Learning
2020 · 5 citations
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
2021 · 2 citations
Trajectory-Based Off-Policy Deep Reinforcement Learning
2019 · 1 citations
CrazyMARL: Decentralized Direct Motor Control Policies for Cooperative Aerial Transport of Cable-Suspended Payloads
2025
Trajectory First: A Curriculum for Discovering Diverse Policies
2025
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
2021
Top co-authors
Ingmar Schubert
· 3
Danny Driess
· 2
Ozgur S. Oguz
· 2
Andreas Doerr
· 1
Christian Daniel
· 1
Cornelius V. Braun
· 1
Khaled Wahba
· 1
Michael Volpp
· 1
Pete Florence
· 1
Sabrina Hoppe
· 1
Sayantan Auddy
· 1
Sayantan Auddy
· 1
Topics
Value-Based
Policy Gradient
Exploration
Model-Based RL
Offline RL
Multi-Agent
Meta-RL
Safe RL