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07/19/2023
Multi-modal Learning based Prediction for Disease
Non alcoholic fatty liver disease (NAFLD) is the most common cause of ch...
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06/01/2023
Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information
Real-world games, which concern imperfect information, multiple players,...
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04/22/2023
Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving
Recently, anchor-based trajectory prediction methods have shown promisin...
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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...
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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...
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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...
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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...
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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 ...
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07/03/2022
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios
Communication-based multi-agent reinforcement learning (MARL) provides i...
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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...
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03/28/2022
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios
Multi-agent reinforcement learning methods such as VDN, QMIX, and QTRAN ...
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02/19/2022
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic
Multi-task intersection navigation including the unprotected turning lef...
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02/13/2022
BViT: Broad Attention based Vision Transformer
Recent works have demonstrated that transformer can achieve promising pe...
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11/15/2021
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search
Different from other deep scalable architecture based NAS approaches, Br...
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10/18/2021
Empirical Policy Optimization for n-Player Markov Games
In single-agent Markov decision processes, an agent can optimize its pol...
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09/22/2021
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios
In recent years, control under urban intersection scenarios becomes an e...
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09/22/2021
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning
The development of autonomous driving has attracted extensive attention ...
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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 ...
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09/22/2020
Heuristic Rank Selection with Progressively Searching Tensor Ring Network
Recently, Tensor Ring Networks (TRNs) have been applied in deep networks...
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09/21/2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Existing model-based value expansion methods typically leverage a world ...
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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...
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07/23/2020
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment
This paper investigates the automatic exploration problem under the unkn...
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07/15/2020
ContourRend: A Segmentation Method for Improving Contours by Rendering
A good object segmentation should contain clear contours and complete re...
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04/18/2020
BiFNet: Bidirectional Fusion Network for Road Segmentation
Multi-sensor fusion-based road segmentation plays an important role in t...
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04/10/2020
ModuleNet: Knowledge-inherited Neural Architecture Search
Although Neural Architecture Search (NAS) can bring improvement to deep ...
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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...
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01/18/2020
Efficient Neural Architecture Search: A Broad Version
Efficient Neural Architecture Search (ENAS) achieves novel efficiency fo...
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01/02/2020
Graph-FCN for image semantic segmentation
Semantic segmentation with deep learning has achieved great progress in ...
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12/23/2019
A Survey of Deep Reinforcement Learning in Video Games
Deep reinforcement learning (DRL) has made great achievements since prop...
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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...
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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...
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04/03/2018
