I am a third-year Ph.D. student at the University of Southern California coadvised by Jesse Thomason (GLAMOR Lab) and Erdem Bıyık (LiRA Lab). I work in natural language and reinforcement learning (RL), and some of my recent works focuses on using natural language supervision to accelerate hierarchical RL. I am currently a Student Researcher at Google working with Chih-wei Hsu, Yinlam Chow and Guy Tennenholtz on sequential-decision making with dynamic latent contexts. I previously interned at Meta Reality Lab with Paul Crook and Andrea Matto working on task-oriented dialogue systems using LLMs.
Prior to joining USC, I spent a summer (during the pandemic) as a visiting scholar at CMU working with Changliu Liu. I graduated from the University of Michigan (UM) with a Masters in Robotics and Bachelors in Computer Science where I worked with Wilka Carvalho and Honglak Lee. During my undergrad summers, I interned at Amazon, Invisible.ai, Google Ads, Luminar and Socratic.
Feel free to say hi: anthony dot liang at usc dot edu
May 2023 | Student Researcher at Google working on Preference Elicitation with the Machine Intelligence group |
May 2022 | Started at Meta Reality Lab as an NLP Research Intern working on Task-Oriented Dialogue Systems using LLMs |
Sept 2021 | Started my Ph.D. at USC with the GLAMOR group! |
May 2021 | Applied Scientist Intern at Amazon |
Oct 2020 | Preprint out on arXiv: Reinforcement Learning for Sparse-Reward Object-Interaction Tasks |
Sept 2020 | Started as a Robotics Masters student at the University of Michigan. |
May 2020 | Visiting Scholar with Prof. Changliu Liu at the Intelligent Controls Lab! |
May 2020 | Graduated with a Bachelors degree in Computer Science and minor in Mathematics! |
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
Anthony Liang, Guy Tennenholtz, Chih-wei Hsu, Yinlam Chow, Erdem Bıyık, Craig Boutilier
In submission to ICML 2024
ViSaRL: Visual Reinforcement Learning Guided by Human Saliency
Anthony Liang, Jesse Thomason, Erdem Bıyık
ICRA 2023 Pretraining for Robotics Workshop (PT4R)
Spotlight Talk (Top 15% of submissions)
Transformer Adapters for Robot Learning
Anthony Liang, Ishika Singh, Karl Pertsch, Jesse Thomason
CoRL 2022 Workshop on Pretraining for Robot Learning
Spotlight Talk
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in
First-person Simulated 3D Environments
Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh
International Joint Conference on Artificial Intelligence 2021
NeurIPS Deep Reinforcement Learning 2020 Workshop
CSCI 699: Robot Learning | Fall 2024 |
CSCI 499: Interactive Natural Language Processing | Fall 2023 |
EECS 442: Computer Vision | Winter 2021 |
EECS 498: Algorithmic Robotics | Winter 2020 |
EECS 504: Graduate Computer Vision | Fall 2020 |
EECS 280: Introduction to Programming and Data Structures | Fall 2018, Winter 2018, Fall 2019 |