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
Aldo Pacchiano — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Aldo Pacchiano
36
papers ·
162
citations ·
12
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Effective Diversity in Population Based Reinforcement Learning
2020 · 46 citations
Ready Policy One: World Building Through Active Learning
2020 · 24 citations
Regret Bound Balancing and Elimination for Model Selection in Bandits and RL
2020 · 12 citations
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
2022 · 12 citations
Provably Robust Blackbox Optimization for Reinforcement Learning
2019 · 11 citations
Tactical Optimism and Pessimism for Deep Reinforcement Learning
2021 · 11 citations
Regret Balancing for Bandit and RL Model Selection
2020 · 9 citations
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization
2019 · 6 citations
Learning to Score Behaviors for Guided Policy Optimization
2019 · 4 citations
Online Model Selection for Reinforcement Learning with Function Approximation
2020 · 3 citations
On the Theory of Reinforcement Learning with Once-per-Episode Feedback
2021 · 3 citations
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity
2021 · 3 citations
Dueling RL: Reinforcement Learning with Trajectory Preferences
2021 · 3 citations
Leveraging Offline Data in Online Reinforcement Learning
2022 · 3 citations
Reinforcement Learning with Chromatic Networks for Compact Architecture Search
2019 · 2 citations
Top co-authors
Jack Parker-Holder
· 11
Krzysztof Choromanski
· 7
Yunhao Tang
· 5
Deepali Jain
· 3
Michael I. Jordan
· 3
Ofir Nachum
· 3
Peter Bartlett
· 3
Stephen Roberts
· 3
Ted Moskovitz
· 3
Aida Afshar
· 2
Emma Brunskill
· 2
Jonathan N. Lee
· 2
Topics
Model-Based RL
Exploration
Meta-RL
Value-Based
Policy Gradient
Offline RL
RLHF & Alignment
Multi-Agent
Safe RL
Game AI