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
Haotian Zhang — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Haotian Zhang
50
papers ·
125
citations ·
16
h-index
Kwai Chung Hospital · Guangzhou Electronic Technology (China) · GCI Science & Technology (China) · Beihang University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
On Hyper-parameter Tuning for Stochastic Optimization Algorithms
2020 · 1 citations
Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning
2024 · 1 citations
TemporalPaD: a reinforcement-learning framework for temporal feature representation and dimension reduction
2024 · 1 citations
Efficient RLVR Training via Weighted Mutual Information Data Selection
2026
Balancing the Reasoning Load: Difficulty-Differentiated Policy Optimization with Length Redistribution for Efficient and Robust Reinforcement Learning
2026
Decoupling Numerical and Structural Parameters: An Empirical Study on Adaptive Genetic Algorithms via Deep Reinforcement Learning for the Large-Scale TSP
2026
VectorGym: A Multitask Benchmark for SVG Code Generation, Sketching, and Editing
2026
CodeScaler: Scaling Code LLM Training and Test-Time Inference via Reward Models
2026
Recycling Failures: Salvaging Exploration in RLVR via Fine-Grained Off-Policy Guidance
2026
Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse
2025
Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning
2025
SeamlessFlow: A Trainer Agent Isolation RL Framework Achieving Bubble-Free Pipelines via Tag Scheduling
2025
Rendering-Aware Reinforcement Learning for Vector Graphics Generation
2025
SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM
2025
Amortized Variational Deep Q Network
2020
Top co-authors
Huiming Wang
· 4
Bin Chen
· 3
Chao Wang
· 3
Jinghui Wang
· 3
Junyi Peng
· 3
Shaojie Wang
· 3
Xiaojiang Zhang
· 3
Yinghan Cui
· 3
Abhay Puri
· 2
Bing Yu
· 2
Boyu Zhu
· 2
Christopher Pal
· 2
Topics
cs.AI
Model-Based RL
cs.LG
cs.CL
Policy Gradient
Multi-Agent
Meta-RL
Value-Based
cs.NE
cs.GR