activity
20172023
most citedSwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

31 citations · 57 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2023★ 8 cited

Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models

Haixu Song, Shiyu Huang, Yinpeng Dong +1

The rise of deepfake images, especially of well-known personalities, poses a serious threat to the dissemination of authentic information. To tackle this, we present a thorough inv…

cs.LG2023

Diverse Policies Converge in Reward-free Markov Decision Processe

Fanqi Lin, Shiyu Huang, Weiwei Tu

Reinforcement learning has achieved great success in many decision-making tasks, and traditional reinforcement learning algorithms are mainly designed for obtaining a single optima…

cs.CL2023★ 31 cited

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

Bill Yuchen Lin, Yicheng Fu, Karina Yang +6

We introduce SwiftSage, a novel agent framework inspired by the dual-process theory of human cognition, designed to excel in action planning for complex interactive reasoning tasks…

cs.AI2023★ 3 cited

TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play

Fanqi Lin, Shiyu Huang, Tim Pearce +2

Multi-agent football poses an unsolved challenge in AI research. Existing work has focused on tackling simplified scenarios of the game, or else leveraging expert demonstrations. I…

cs.RO2023★ 3 cited

Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation

Xinyi Yang, Shiyu Huang, Yiwen Sun +5

This paper investigates the multi-agent navigation problem, which requires multiple agents to reach the target goals in a limited time. Multi-agent reinforcement learning (MARL) ha…

cs.LG2022★ 1 cited

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization

Wentse Chen, Shiyu Huang, Yuan Chiang +4

Most reinforcement learning algorithms seek a single optimal strategy that solves a given task. However, it can often be valuable to learn a diverse set of solutions, for instance,…

cs.AI2021★ 8 cited

TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations

Shiyu Huang, Wenze Chen, Longfei Zhang +6

Deep reinforcement learning (DRL) has achieved super-human performance on complex video games (e.g., StarCraft II and Dota II). However, current DRL systems still suffer from chall…

cs.AI2021

Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization

Shiyu Huang, Bin Wang, Dong Li +3

Circuit routing has been a historically challenging problem in designing electronic systems such as very large-scale integration (VLSI) and printed circuit boards (PCBs). The main…

cs.CV2017★ 3 cited

Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters

Shiyu Huang, Deva Ramanan

As autonomous vehicles become an every-day reality, high-accuracy pedestrian detection is of paramount practical importance. Pedestrian detection is a highly researched topic with…