CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Improving Fictitious Play Reinforcement Learning with Expanding Models Permalink

[NeurIPS] Offline imitation learning with a misspecified simulator Permalink

[NeurIPS] Regret Minimization Experience Replay in Off-Policy Reinforcement Learning Permalink

Xu-Hui Liu, Zhenghai Xue, Jing-Cheng Pang, Shengyi Jiang, Feng Xu and Yang Yu. Regret Minimization Experience Replay in Off-Policy Reinforcement Learning. In: NeurIPS, 2021.

[IROS] Object-Oriented Option Framework for Robotics Manipulation in Clutter

[NeurIPS] Natural Language Instruction-following with Task-related Language Development and Translation

[FCS] Model Gradient: Unified Model and Policy Learning in Model-based Reinforcement Learning Permalink

[DAI] Language Model Self-improvement by Reinforcement Learning Contemplation

Language Model Self-improvement by Reinforcement Learning Contemplation Permalink

Empowering Language Models with Active Inquiry for Deeper Understanding Permalink

Language Model Self-improvement by Reinforcement Learning Contemplation

KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts Permalink

Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning Permalink

WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making Permalink

InCLET: In-context Learning from Language Models can Improve Embodied Instruction-following Permalink

Learning View-invariant World Models for Visual Robotic Manipulation Permalink

Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization Permalink

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts Permalink

Interactive Large Language Models for Reliable Answering under Incomplete Context Permalink

Talks

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Teaching

Teaching experience 1

Service and leadership

• Currently signed in to 43 different slack teams