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
Remi Tachet Des Combes — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Remi Tachet Des Combes
10
papers ·
85
citations ·
16
h-index
Massachusetts Institute of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Counting to Explore and Generalize in Text-based Games
2018 · 52 citations
Deep Reinforcement and InfoMax Learning
2020 · 16 citations
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
2022 · 4 citations
A Reduction from Reinforcement Learning to No-Regret Online Learning
2019 · 3 citations
Behavior Prior Representation learning for Offline Reinforcement Learning
2022 · 3 citations
Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning
2022 · 2 citations
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
2023 · 1 citations
Non-Markovian policies occupancy measures
2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information
2022
Top co-authors
Romain Laroche
· 6
Hongyu Zang
· 4
Riashat Islam
· 4
Alex Lamb
· 2
Xin Li
· 2
Adam Trischler
· 1
Alessandro Sordoni
· 1
Aniket Didolkar
· 1
Anirudh Goyal
· 1
Baigui Sun
· 1
Bogdan Mazoure
· 1
Byron Boots
· 1
Topics
Model-Based RL
Offline RL
Value-Based
Exploration
Meta-RL
Safe RL
Game AI
Policy Gradient
Multi-Agent