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
Tom Zahavy — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Tom Zahavy
24
papers ·
380
citations ·
13
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
2016 · 142 citations
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
2018 · 80 citations
Graying the black box: Understanding DQNs
2016 · 58 citations
A Self-Tuning Actor-Critic Algorithm
2020 · 32 citations
Shallow Updates for Deep Reinforcement Learning
2017 · 20 citations
Visualizing Dynamics: from t-SNE to SEMI-MDPs
2016 · 12 citations
Balancing Constraints and Rewards with Meta-Gradient D4PG
2020 · 6 citations
Discovery of Options via Meta-Learned Subgoals
2021 · 5 citations
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
2023 · 5 citations
Discovering Diverse Nearly Optimal Policies with Successor Features
2021 · 4 citations
Deep Reinforcement Learning Discovers Internal Models
2016 · 3 citations
Unknown mixing times in apprenticeship and reinforcement learning
2019 · 3 citations
Emphatic Algorithms for Deep Reinforcement Learning
2021 · 3 citations
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies
2019 · 1 citations
Reward is enough for convex MDPs
2021 · 1 citations
Top co-authors
Shie Mannor
· 7
Satinder Singh
· 6
Daniel J. Mankowitz
· 5
Sebastian Flennerhag
· 4
Zhongwen Xu
· 4
Brendan O’Donoghue
· 3
Hado van Hasselt
· 3
Haim Kaplan
· 3
Junhyuk Oh
· 3
Matteo Hessel
· 3
Vivek Veeriah
· 3
Yishay Mansour
· 3
Topics
Meta-RL
Value-Based
Model-Based RL
Exploration
Policy Gradient
Game AI
Safe RL
Offline RL