Awesome Reinforcement Learning

Papers Topics Trending Leaderboards Authors Datasets Learn Ask AI Map Tools Reading Packs News

BrowsePapersThe full index, filterable and sortable.TopicsThe same papers grouped by subject tag.TrendingWhat moved this week, and by how much.AuthorsWho publishes here, and who they publish with.MapThe collection laid out by embedding similarity.

CompareLeaderboardsBenchmark tables, with the paper behind each number.DatasetsThe datasets these papers train and evaluate on.ToolsCode and libraries released alongside the papers.

ReadLearnOrdered routes from background reading to current work.Ask AIAsk a question and get answers cited to these papers.VideosThe most-watched talks and lectures in this field.Reading PacksShort curated sets built around one question.

FollowNewsPress and coverage tied back to the papers.BlogsAuthor and lab write-ups of their own work.NewsletterEmail digest of what changed, on a schedule.Research RadarPaste an abstract, get matches across every collection.

YoursSavedPapers you bookmarked in this browser.

← authors · overview

Loading author…

Stay Updated

E-Mail Digest Research Radar

Methodology · Submit a paper · Privacy · Terms

© 2026 Awesome Papers.

Dapeng Wu — most-cited papers & profile · Reinforcement Learning

← authors · overview

Dapeng Wu

12 papers · 3 citations · 70 h-index

Chongqing University of Posts and Telecommunications · Ningbo University · City University of Hong Kong · Chongqing Science and Technology Commission · Tsinghua University

Google Scholar ↗Semantic Scholar ↗OpenAlex ↗

Most-cited papers

Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models
2026

Top co-authors

Hao Gu · 1 Hao Wang · 1 Hongming Piao · 1 Kaixiong Gong · 1 Sirui Han · 1 Xiangyu Yue · 1 Yike Guo · 1 Yuxiao Ye · 1

Topics