Scholar
Yi Ma
Google Scholar ID: TdVWzqgAAAAJ
Shanxi University
Citations & Impact
Citations
644
H-index
15
i10-index
17
Publications
20
Co-authors
8
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- NeurIPS 2024: Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
- NeurIPS 2024: Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
- NeurIPS 2024: CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
- ICML 2024: Rethinking Decision Transformer via Hierarchical Reinforcement Learning
- ICML 2024: Imagine Big from Small: Unlock the Cognitive Generalization of Deep Reinforcement Learning from Simple Scenarios
- IJCAI 2024: ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
- ICLR 2024: Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
- NeurIPS 2023: Reining Generalization in Offline Reinforcement Learning via Representation Distinction
- CIKM 2023: A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving
- AAAI 2023: SplitNet: A Reinforcement Learning based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem
- CAAI AIR 2023: OSCAR: OOD State Conservative Offline Reinforcement Learning for Sequential Decision Making
- IJCAI 2022: PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations
- NeurIPS 2021: A hierarchical reinforcement learning based optimization framework for large scale dynamic pickup and delivery problems
- KDD 2021: A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale H
Research Experience
- Worked in Professor Jianye Hao's research group and published over 20 papers in top AI conferences.
Background
- Currently an associate professor at Shanxi University, with research interests in reinforcement learning, offline reinforcement learning, embodied AI, and applications of deep reinforcement learning.
Miscellany
- A huge fan of basketball, snowboarding, and orienteering.
