activity
20222025
most citedDiscrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning

4 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025

Learning Fused State Representations for Control from Multi-View Observations

Zeyu Wang, Yao-Hui Li, Xin Li +3

Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recen…

cs.LG2024

Learning Latent Dynamic Robust Representations for World Models

Ruixiang Sun, Hongyu Zang, Xin Li +1

Visual Model-Based Reinforcement Learning (MBRL) promises to encapsulate agent's knowledge about the underlying dynamics of the environment, enabling learning a world model as a us…

cs.LG2023★ 1 cited

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning

Hongyu Zang, Xin Li, Leiji Zhang +5

While bisimulation-based approaches hold promise for learning robust state representations for Reinforcement Learning (RL) tasks, their efficacy in offline RL tasks has not been up…

cs.LG2022★ 1 cited

Representation Learning in Deep RL via Discrete Information Bottleneck

Riashat Islam, Hongyu Zang, Manan Tomar +8

Several self-supervised representation learning methods have been proposed for reinforcement learning (RL) with rich observations. For real-world applications of RL, recovering und…

cs.LG2022★ 4 cited

Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning

Riashat Islam, Hongyu Zang, Anirudh Goyal +6

Goal-conditioned reinforcement learning (RL) is a promising direction for training agents that are capable of solving multiple tasks and reach a diverse set of objectives. How to \…

cs.LG2022

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information

Riashat Islam, Manan Tomar, Alex Lamb +8

Learning to control an agent from data collected offline in a rich pixel-based visual observation space is vital for real-world applications of reinforcement learning (RL). A major…

cs.SE2022

Effective, Platform-Independent GUI Testing via Image Embedding and Reinforcement Learning

Shengcheng Yu, Chunrong Fang, Xin Li +3

Software applications have been playing an increasingly important role in various aspects of society. In particular, mobile apps and web apps are the most prevalent among all appli…