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
Sandy H. Huang — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Sandy H. Huang
11
papers ·
84
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Distributional View on Multi-Objective Policy Optimization
2020 · 23 citations
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
2023 · 6 citations
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
2021 · 3 citations
Replay across Experiments: A Natural Extension of Off-Policy RL
2023 · 1 citations
Coherent Soft Imitation Learning
2023
Top co-authors
Nicolas Heess
· 5
Leonard Hasenclever
· 3
Martin Riedmiller
· 3
Raia Hadsell
· 3
Abbas Abdolmaleki
· 2
Arunkumar Byravan
· 2
Dhruva Tirumala
· 2
Guy Lever
· 2
Markus Wulfmeier
· 2
Tuomas Haarnoja
· 2
András György
· 1
Andrea Huber
· 1
Topics
Policy Gradient
Offline RL
Multi-Agent
Exploration
Safe RL
Game AI
Meta-RL