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Zihan Ding — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Zihan Ding
18
papers ·
89
citations ·
22
h-index
Princeton University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deep Reinforcement Learning for Intelligent Transportation Systems
2018 · 31 citations
CDT: Cascading Decision Trees for Explainable Reinforcement Learning
2020 · 11 citations
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
2019 · 8 citations
Learning a Universal Human Prior for Dexterous Manipulation from Human Preference
2023 · 4 citations
Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning
2021 · 3 citations
Reinforcement Learning in High-frequency Market Making
2024 · 3 citations
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning
2023 · 2 citations
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games
2022 · 1 citations
Efficient Reinforcement Learning Development with RLzoo
2020
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
2024
Top co-authors
Chi Jin
· 3
Abi Aryan
· 1
Allen Z. Ren
· 1
Andrzej Wojcicki
· 1
Anwar Walid
· 1
Changjian Li
· 1
Chi Jin
· 1
DiJia Su
· 1
Dong Hao
· 1
Gavin Weiguang Ding
· 1
Hao Dong
· 1
Hao Dong
· 1
Topics
Value-Based
Multi-Agent
Game AI
Model-Based RL
Policy Gradient
Safe RL
Exploration
Meta-RL
RLHF & Alignment
Offline RL