b'Lei Han'

research

∙ 08/18/2023

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning

The robustness of legged locomotion is crucial for quadrupedal robots in...

0 Jiyuan Shi, et al. ∙

research

∙ 08/15/2023

EQ-Net: Elastic Quantization Neural Networks

Current model quantization methods have shown their promising capability...

0 Ke Xu, et al. ∙

research

∙ 08/14/2023

Neural Categorical Priors for Physics-Based Character Control

Recent advances in learning reusable motion priors have demonstrated the...

0 Qingxu Zhu, et al. ∙

research

∙ 08/07/2023

Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals

In this paper, we present a general learning framework for controlling a...

0 Tingguang Li, et al. ∙

research

∙ 07/06/2023

EffLiFe: Efficient Light Field Generation via Hierarchical Sparse Gradient Descent

With the rise of Extended Reality (XR) technology, there is a growing ne...

0 Yijie Deng, et al. ∙

research

∙ 05/17/2023

Crossing the Reality Gap in Tactile-Based Learning

Tactile sensors are believed to be essential in robotic manipulation, an...

0 Ya-Yen Tsai, et al. ∙

research

∙ 05/02/2023

On the Impact of Data Quality on Image Classification Fairness

With the proliferation of algorithmic decision-making, increased scrutin...

0 Aki Barry, et al. ∙

research

∙ 02/01/2023

Is Stubborn Mining Severe in Imperfect GHOST Bitcoin-like Blockchains? Quantitative Analysis

GHOST, like the longest-chain protocol, is a chain selection protocol an...

0 Haoran Zhu, et al. ∙

research

∙ 06/13/2022

Relative Policy-Transition Optimization for Fast Policy Transfer

We consider the problem of policy transfer between two Markov Decision P...

1 Lei Han, et al. ∙

research

∙ 10/20/2021

Dynamic Bottleneck for Robust Self-Supervised Exploration

Exploration methods based on pseudo-count of transitions or curiosity of...

9 Chenjia Bai, et al. ∙

research

∙ 08/30/2021

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning

In multi-agent reinforcement learning, the behaviors that agents learn i...

0 Shenao Zhang, et al. ∙

research

∙ 07/01/2021

MHER: Model-based Hindsight Experience Replay

Solving multi-goal reinforcement learning (RL) problems with sparse rewa...

0 Rui Yang, et al. ∙

research

∙ 05/13/2021

Principled Exploration via Optimistic Bootstrapping and Backward Induction

One principled approach for provably efficient exploration is incorporat...

3 Chenjia Bai, et al. ∙

research

∙ 11/27/2020

TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game

StarCraft, one of the most difficult esport games with long-standing his...

10 Lei Han, et al. ∙

research

∙ 11/25/2020

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning

Competitive Self-Play (CSP) based Multi-Agent Reinforcement Learning (MA...

17 Peng Sun, et al. ∙

research

∙ 07/18/2020

Object Tracking by Least Spatiotemporal Searches

Tracking a car or a person in a city is crucial for urban safety managem...

30 Zhiyong Yu, et al. ∙

research

∙ 05/13/2020

Triaging moderate COVID-19 and other viral pneumonias from routine blood tests

The COVID-19 is sweeping the world with deadly consequences. Its contagi...

19 Forrest Sheng Bao, et al. ∙

research

∙ 03/14/2020

OccuSeg: Occupancy-aware 3D Instance Segmentation

3D instance segmentation, with a variety of applications in robotics and...

0 Lei Han, et al. ∙

research

∙ 11/14/2019

Convolutional Neural Network for Convective Storm Nowcasting Using 3D Doppler Weather Radar Data

Convective storms are one of the severe weather hazards found during the...

10 Lei Han, et al. ∙

research

∙ 10/01/2019

A Three-dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting

Very short-term convective storm forecasting, termed nowcasting, has lon...

42 Wei Zhang, et al. ∙

research

∙ 09/19/2019

A Random Gossip BMUF Process for Neural Language Modeling

LSTM language model is an essential component of industrial ASR systems....

0 Yiheng Huang, et al. ∙

research

∙ 09/02/2019

Phrase-Level Class based Language Model for Mandarin Smart Speaker Query Recognition

The success of speech assistants requires precise recognition of a numbe...

0 Yiheng Huang, et al. ∙

research

∙ 07/20/2019

Arena: a toolkit for Multi-Agent Reinforcement Learning

We introduce Arena, a toolkit for multi-agent reinforcement learning (MA...

19 Qing Wang, et al. ∙

research

∙ 04/03/2019

GFF: Gated Fully Fusion for Semantic Segmentation

Semantic segmentation generates comprehensive understanding of scenes at...

0 Xiangtai Li, et al. ∙

research

∙ 12/26/2018

RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration

Direct image-to-image alignment that relies on the optimization of photo...

6 Lei Han, et al. ∙

research

∙ 10/10/2018

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Most existing deep reinforcement learning (DRL) frameworks consider eith...

0 Jiechao Xiong, et al. ∙

research

∙ 09/19/2018

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game

Starcraft II (SCII) is widely considered as the most challenging Real Ti...

10 Peng Sun, et al. ∙

research

∙ 11/02/2017

Candidates v.s. Noises Estimation for Large Multi-Class Classification Problem

This paper proposes a method for multi-class classification problems, wh...

0 Lei Han, et al. ∙

research

∙ 09/18/2017

Beyond SIFT using Binary features for Loop Closure Detection

In this paper a binary feature based Loop Closure Detection (LCD) method...

0 Lei Han, et al. ∙

research

∙ 02/28/2017

MILD: Multi-Index hashing for Loop closure Detection

Loop Closure Detection (LCD) has been proved to be extremely useful in g...

0 Lei Han, et al. ∙

research

∙ 11/07/2016

Action2Activity: Recognizing Complex Activities from Sensor Data

As compared to simple actions, activities are much more complex, but sem...

0 Ye Liu, et al. ∙

research

∙ 04/27/2016

Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression

A major challenge for building statistical models in the big data era is...

0 Lei Han, et al. ∙

Lei Han

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