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09/09/2023
Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective
Reinforcement learning (RL) is a powerful tool for solving complex decis...
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08/28/2023
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning
Offline reinforcement learning aims to utilize datasets of previously ga...
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08/07/2023
Minimizing Return Gaps with Discrete Communications in Decentralized POMDP
Communication is crucial for solving cooperative Multi-Agent Reinforceme...
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07/21/2023
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs
Covering skill (a.k.a., option) discovery has been developed to improve ...
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07/13/2023
Copy Is All You Need
The dominant text generation models compose the output by sequentially s...
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07/05/2023
The Predictability of Stock Price: Empirical Study onTick Data in Chinese Stock Market
Whether or not stocks are predictable has been a topic of concern for de...
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06/05/2023
MM-DAG: Multi-task DAG Learning for Multi-modal Data – with Application for Traffic Congestion Analysis
This paper proposes to learn Multi-task, Multi-modal Direct Acyclic Grap...
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05/31/2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization
Multi-Agent Experience Replay (MER) is a key component of off-policy rei...
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05/30/2023
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design
Robust network design, which aims to guarantee network availability unde...
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05/27/2023
Hierarchical Deep Counterfactual Regret Minimization
Imperfect Information Games (IIGs) offer robust models for scenarios whe...
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05/25/2023
PandaGPT: One Model To Instruction-Follow Them All
We present PandaGPT, an approach to emPower large lANguage moDels with v...
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05/22/2023
Towards Efficient Multi-Agent Learning Systems
Multi-Agent Reinforcement Learning (MARL) is an increasingly important r...
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05/22/2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Multi-task Imitation Learning (MIL) aims to train a policy capable of pe...
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02/21/2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Experience replay is crucial for off-policy reinforcement learning (RL) ...
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02/11/2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning
Value function factorization methods have become a dominant approach for...
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02/10/2023
Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems
Multi-Agent Reinforcement Learning (MARL) is a promising area of researc...
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02/06/2023
Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation
Learning with multiple modalities is crucial for automated brain tumor s...
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01/06/2023
TWR-MCAE: A Data Augmentation Method for Through-the-Wall Radar Human Motion Recognition
To solve the problems of reduced accuracy and prolonging convergence tim...
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12/05/2022
Momentum Decoding: Open-ended Text Generation As Graph Exploration
Open-ended text generation with autoregressive language models (LMs) is ...
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12/01/2022
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process
Learning rich skills through temporal abstractions without supervision o...
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10/13/2022
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions
Bayesian optimization (BO) is a popular global optimization scheme for s...
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10/07/2022
Multi-agent Deep Covering Option Discovery
The use of options can greatly accelerate exploration in reinforcement l...
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10/05/2022
Hierarchical Adversarial Inverse Reinforcement Learning
Hierarchical Imitation Learning (HIL) has been proposed to recover highl...
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06/22/2022
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) has witnessed significant prog...
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03/03/2022
Efficient Video Instance Segmentation via Tracklet Query and Proposal
Video Instance Segmentation (VIS) aims to simultaneously classify, segme...
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02/13/2022
A Contrastive Framework for Neural Text Generation
Text generation is of great importance to many natural language processi...
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02/01/2022
A Framework for Server Authentication using Communication Protocol Dialects
In today's world, computer networks have become vulnerable to numerous a...
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01/27/2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning
One of the biggest challenges in Federated Learning (FL) is that client ...
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01/20/2022
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs
Covering option discovery has been developed to improve the exploration ...
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01/04/2022
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients
Value function factorization via centralized training and decentralized ...
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11/23/2021
PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer
The virtual try-on system has gained great attention due to its potentia...
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10/13/2021
Exploring Dense Retrieval for Dialogue Response Selection
Recent research on dialogue response selection has been mainly focused o...
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10/12/2021
Foster Strengths and Circumvent Weaknesses: a Speech Enhancement Framework with Two-branch Collaborative Learning
Recent single-channel speech enhancement methods usually convert wavefor...
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10/07/2021
MPD: Moving Target Defense through Communication Protocol Dialects
Communication protocol security is among the most significant challenges...
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09/20/2021
Merlion: A Machine Learning Library for Time Series
We introduce Merlion, an open-source machine learning library for time s...
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09/13/2021
SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
Gradient-based training in federated learning is known to be vulnerable ...
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08/31/2021
WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU
Deep reinforcement learning (RL) is a powerful framework to train decisi...
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07/30/2021
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning
Gradient quantization is an emerging technique in reducing communication...
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03/05/2021
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery
With the freight delivery demands and shipping costs increasing rapidly,...
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12/21/2020
Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems
Since the pre-trained language models are widely used, retrieval-based o...
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12/17/2020
Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic Hashing
We study the coarse-grained selection module in retrieval-based chatbot....
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10/07/2020
Search-free DOA Estimation Method Based on Tensor Decomposition and Polynomial Rooting for Transmit Beamspace MIMO Radar
In order to improve the accuracy and resolution for transmit beamspace m...
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08/19/2020
TNT: Target-driveN Trajectory Prediction
Predicting the future behavior of moving agents is essential for real wo...
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08/07/2020
Which Kind Is Better in Open-domain Multi-turn Dialog,Hierarchical or Non-hierarchical Models? An Empirical Study
Currently, open-domain generative dialog systems have attracted consider...
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05/21/2020
Modeling and Optimization of Latency in Erasure-coded Storage Systems
As consumers are increasingly engaged in social networking and E-commerc...
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04/06/2020
PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems
Open-domain generative dialogue systems have attracted considerable atte...
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03/28/2020
Real Entropy Can Also Predict Daily Voice Traffic for Wireless Network Users
Voice traffic prediction is significant for network deployment optimizat...
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02/18/2020
Multi-Task Learning from Videos via Efficient Inter-Frame Attention
Prior work in multi-task learning has mainly focused on predictions on a...
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12/20/2019
When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation
Despite the multi-turn open-domain dialogue systems have attracted more ...
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11/01/2019
