Awesome Reinforcement Learning
Papers
Topics
Trending
Leaderboards
Authors
Datasets
Learn
Ask AI
Map
Tools
Reading Packs
News
All sections
Browse
Papers
The full index, filterable and sortable.
Topics
The same papers grouped by subject tag.
Trending
What moved this week, and by how much.
Authors
Who publishes here, and who they publish with.
Map
The collection laid out by embedding similarity.
Compare
Leaderboards
Benchmark tables, with the paper behind each number.
Datasets
The datasets these papers train and evaluate on.
Tools
Code and libraries released alongside the papers.
Read
Learn
Ordered routes from background reading to current work.
Ask AI
Ask a question and get answers cited to these papers.
Videos
The most-watched talks and lectures in this field.
Reading Packs
Short curated sets built around one question.
Follow
News
Press and coverage tied back to the papers.
Blogs
Author and lab write-ups of their own work.
Newsletter
Email digest of what changed, on a schedule.
Research Radar
Paste an abstract, get matches across every collection.
Yours
Saved
Papers you bookmarked in this browser.
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
Ask AI
Soham R. Phade and Venkat Anantharam — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Soham R. Phade and Venkat Anantharam
3
papers ·
0
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning in Games with Cumulative Prospect Theoretic Preferences
2018
Black-Box Strategies and Equilibrium for Games with Cumulative Prospect Theoretic Players
2020
Mechanism Design for Cumulative Prospect Theoretic Agents: A General Framework and the Revelation Principle
2021
Topics
Game AI
Multi-Agent
cs.GT
econ.TH