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08/18/2023
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning
The robustness of legged locomotion is crucial for quadrupedal robots in...
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08/15/2023
EQ-Net: Elastic Quantization Neural Networks
Current model quantization methods have shown their promising capability...
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08/14/2023
Neural Categorical Priors for Physics-Based Character Control
Recent advances in learning reusable motion priors have demonstrated the...
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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...
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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...
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05/17/2023
Crossing the Reality Gap in Tactile-Based Learning
Tactile sensors are believed to be essential in robotic manipulation, an...
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05/02/2023
On the Impact of Data Quality on Image Classification Fairness
With the proliferation of algorithmic decision-making, increased scrutin...
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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...
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06/13/2022
Relative Policy-Transition Optimization for Fast Policy Transfer
We consider the problem of policy transfer between two Markov Decision P...
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10/20/2021
Dynamic Bottleneck for Robust Self-Supervised Exploration
Exploration methods based on pseudo-count of transitions or curiosity of...
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08/30/2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
In multi-agent reinforcement learning, the behaviors that agents learn i...
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07/01/2021
MHER: Model-based Hindsight Experience Replay
Solving multi-goal reinforcement learning (RL) problems with sparse rewa...
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05/13/2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction
One principled approach for provably efficient exploration is incorporat...
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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...
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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...
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07/18/2020
Object Tracking by Least Spatiotemporal Searches
Tracking a car or a person in a city is crucial for urban safety managem...
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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...
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03/14/2020
OccuSeg: Occupancy-aware 3D Instance Segmentation
3D instance segmentation, with a variety of applications in robotics and...
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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...
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10/01/2019
A Three-dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting
Very short-term convective storm forecasting, termed nowcasting, has lon...
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09/19/2019
A Random Gossip BMUF Process for Neural Language Modeling
LSTM language model is an essential component of industrial ASR systems....
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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...
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07/20/2019
Arena: a toolkit for Multi-Agent Reinforcement Learning
We introduce Arena, a toolkit for multi-agent reinforcement learning (MA...
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04/03/2019
GFF: Gated Fully Fusion for Semantic Segmentation
Semantic segmentation generates comprehensive understanding of scenes at...
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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...
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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...
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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...
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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...
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09/18/2017
Beyond SIFT using Binary features for Loop Closure Detection
In this paper a binary feature based Loop Closure Detection (LCD) method...
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02/28/2017
MILD: Multi-Index hashing for Loop closure Detection
Loop Closure Detection (LCD) has been proved to be extremely useful in g...
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11/07/2016
Action2Activity: Recognizing Complex Activities from Sensor Data
As compared to simple actions, activities are much more complex, but sem...
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04/27/2016