b'Dongbin Zhao'

research

∙ 07/19/2023

Multi-modal Learning based Prediction for Disease

Non alcoholic fatty liver disease (NAFLD) is the most common cause of ch...

0 Yaran Chen, et al. ∙

research

∙ 06/01/2023

Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information

Real-world games, which concern imperfect information, multiple players,...

0 Runyu Lu, et al. ∙

research

∙ 04/22/2023

Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving

Recently, anchor-based trajectory prediction methods have shown promisin...

0 Ding Li, et al. ∙

research

∙ 03/22/2023

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks

Multi-agent reinforcement learning (MARL) has achieved remarkable succes...

0 Guangzheng Hu, et al. ∙

research

∙ 02/11/2023

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning

Task-agnostic cross-domain pre-training shows great potential in image-b...

0 Xin Liu, et al. ∙

research

∙ 12/05/2022

A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat

Unmanned combat air vehicle (UCAV) combat is a challenging scenario with...

0 Jiajun Chai, et al. ∙

research

∙ 11/23/2022

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning

The latent world model provides a promising way to learn policies in a c...

0 Junjie Wang, et al. ∙

research

∙ 10/19/2022

Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation

This paper aims to tackle the interactive behavior prediction task, and ...

0 Ding Li, et al. ∙

research

∙ 07/03/2022

NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios

Communication-based multi-agent reinforcement learning (MARL) provides i...

0 Jiajun Chai, et al. ∙

research

∙ 03/31/2022

TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving

Realistic and diverse simulation scenarios with reactive and feasible ag...

0 Qichao Zhang, et al. ∙

research

∙ 03/28/2022

UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios

Multi-agent reinforcement learning methods such as VDN, QMIX, and QTRAN ...

0 Jiajun Chai, et al. ∙

research

∙ 02/19/2022

Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic

Multi-task intersection navigation including the unprotected turning lef...

0 Yuqi Liu, et al. ∙

research

∙ 02/13/2022

BViT: Broad Attention based Vision Transformer

Recent works have demonstrated that transformer can achieve promising pe...

26 Nannan Li, et al. ∙

research

∙ 11/15/2021

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search

Different from other deep scalable architecture based NAS approaches, Br...

0 Zixiang Ding, et al. ∙

research

∙ 10/18/2021

Empirical Policy Optimization for n-Player Markov Games

In single-agent Markov decision processes, an agent can optimize its pol...

0 Yuanheng Zhu, et al. ∙

research

∙ 09/22/2021

A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios

In recent years, control under urban intersection scenarios becomes an e...

0 Yuqi Liu, et al. ∙

research

∙ 09/22/2021

Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning

The development of autonomous driving has attracted extensive attention ...

0 Junjie Wang, et al. ∙

research

∙ 10/10/2020

Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint

Communicating with each other in a distributed manner and behaving as a ...

0 Guangzheng Hu, et al. ∙

research

∙ 09/22/2020

Heuristic Rank Selection with Progressively Searching Tensor Ring Network

Recently, Tensor Ring Networks (TRNs) have been applied in deep networks...

5 Nannan Li, et al. ∙

research

∙ 09/21/2020

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning

Existing model-based value expansion methods typically leverage a world ...

0 Junjie Wang, et al. ∙

research

∙ 09/18/2020

Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate

In order to further improve the search efficiency of Neural Architecture...

0 Zixiang Ding, et al. ∙

research

∙ 07/23/2020

Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment

This paper investigates the automatic exploration problem under the unkn...

0 Haoran Li, et al. ∙

research

∙ 07/15/2020

ContourRend: A Segmentation Method for Improving Contours by Rendering

A good object segmentation should contain clear contours and complete re...

0 Junwen Chen, et al. ∙

research

∙ 04/18/2020

BiFNet: Bidirectional Fusion Network for Road Segmentation

Multi-sensor fusion-based road segmentation plays an important role in t...

0 Haoran Li, et al. ∙

research

∙ 04/10/2020

ModuleNet: Knowledge-inherited Neural Architecture Search

Although Neural Architecture Search (NAS) can bring improvement to deep ...

0 Yaran Chen, et al. ∙

research

∙ 03/31/2020

Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition

The Fighting Game AI Competition (FTGAIC) provides a challenging benchma...

0 Zhentao Tang, et al. ∙

research

∙ 01/18/2020

Efficient Neural Architecture Search: A Broad Version

Efficient Neural Architecture Search (ENAS) achieves novel efficiency fo...

0 Zixiang Ding, et al. ∙

research

∙ 01/02/2020

Graph-FCN for image semantic segmentation

Semantic segmentation with deep learning has achieved great progress in ...

0 Yi Lu, et al. ∙

research

∙ 12/23/2019

A Survey of Deep Reinforcement Learning in Video Games

Deep reinforcement learning (DRL) has made great achievements since prop...

39 Kun Shao, et al. ∙

research

∙ 03/30/2019

Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints

Autonomous driving decision-making is a great challenge due to the compl...

0 Junjie Wang, et al. ∙

research

∙ 10/30/2018

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving

This paper investigates the vision-based autonomous driving with deep le...

8 Dong Li, et al. ∙

research

∙ 04/03/2018

StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning

Real-time strategy games have been an important field of game artificial...

0 Kun Shao, et al. ∙

Dongbin Zhao

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