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08/02/2023
Optimization-Based Motion Planning for Autonomous Agricultural Vehicles Turning in Constrained Headlands
Headland maneuvering is a crucial aspect of unmanned field operations fo...
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06/20/2023
Safe and Scalable Real-Time Trajectory Planning Framework for Urban Air Mobility
This paper presents a real-time trajectory planning framework for Urban ...
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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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05/22/2023
Towards Efficient Multi-Agent Learning Systems
Multi-Agent Reinforcement Learning (MARL) is an increasingly important r...
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05/22/2023
One-Shot Strategically Deconflicted Route and Operational Volume Generation for Urban Air Mobility Operations
In the UAM space, strategic deconfliction provides an all-essential laye...
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05/17/2023
Integrated Conflict Management for UAM with Strategic Demand Capacity Balancing and Learning-based Tactical Deconfliction
Urban air mobility (UAM) has the potential to revolutionize our daily tr...
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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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02/10/2023
Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems
Multi-Agent Reinforcement Learning (MARL) is a promising area of researc...
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01/26/2023
A Framework for Operational Volume Generation for Urban Air Mobility Strategic Deconfliction
Strategic pre-flight functions focus on the planning and deconfliction o...
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11/03/2022
A Survey on Reinforcement Learning in Aviation Applications
Compared with model-based control and optimization methods, reinforcemen...
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10/01/2022
Joint Mobility Control and MEC Offloading for Hybrid Satellite-Terrestrial-Network-Enabled Robots
Benefiting from the fusion of communication and intelligent technologies...
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05/09/2022
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems
We present a safety verification framework for design-time and run-time ...
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05/06/2022
Comparison of Effect Size Measures for Mediation Analysis of Survival Outcomes with Application to the Framingham Heart Study
There is an increasing trend of research in mediation analysis for survi...
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11/13/2021
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning
Obstacle avoidance for small unmanned aircraft is vital for the safety o...
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05/05/2021
Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance
The separation assurance task will be extremely challenging for air traf...
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09/16/2020
A Survival Mediation Model with Bayesian Model Averaging
Determining the extent to which a patient is benefiting from cancer ther...
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08/08/2020
Scalable FastMDP for Pre-departure Airspace Reservation and Strategic De-conflict
Pre-departure flight plan scheduling for Urban Air Mobility (UAM) and ca...
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06/12/2020
Continuous Control for Searching and Planning with a Learned Model
Decision-making agents with planning capabilities have achieved huge suc...
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03/17/2020
A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance
A novel deep multi-agent reinforcement learning framework is proposed to...
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09/09/2019
An Efficient Algorithm for Multiple-Pursuer-Multiple-Evader Pursuit/Evasion Game
We present a method for pursuit/evasion that is highly efficient and and...
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05/25/2019
Prioritized Sequence Experience Replay
Experience replay is widely used in deep reinforcement learning algorith...
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05/02/2019
Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach
Air traffic control is a real-time safety-critical decision making proce...
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02/18/2019
Towards the Next Generation Airline Revenue Management: A Deep Reinforcement Learning Approach to Seat Inventory Control and Overbooking
Revenue management can enable airline corporations to maximize the reven...
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01/24/2019
A PCB Dataset for Defects Detection and Classification
To coupe with the difficulties in the process of inspection and classifi...
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12/28/2018
N-continuous Aided GFDM Signaling
An N-continuous-based generalized frequency division multiplexing (GFDM)...
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12/28/2018
Basis Signal Optimization for N-Continuous OFDM
A novel basis signal optimization method is proposed for interference re...
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12/28/2018
Continuity-Enhanced Basis Signal aided Low-Interference N-Continuous OFDM
A novel linear combination representation aided time-domain smooth signa...
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11/27/2018
Performance Analysis of a Low-Interference N-Continuous OFDM Scheme
This letter analyzes the performance of a low-interference time-domain N...
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07/30/2018
AutoAccel: Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture
CPU-FPGA heterogeneous architectures are attracting ever-increasing atte...
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07/03/2018
Best-Effort FPGA Programming: A Few Steps Can Go a Long Way
FPGA-based heterogeneous architectures provide programmers with the abil...
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06/09/2018
Explainable Deterministic MDPs
We present a method for a certain class of Markov Decision Processes (MD...
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05/18/2018
Hierarchical Reinforcement Learning with Deep Nested Agents
Deep hierarchical reinforcement learning has gained a lot of attention i...
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05/17/2018
Memoryless Exact Solutions for Deterministic MDPs with Sparse Rewards
We propose an algorithm for deterministic continuous Markov Decision Pro...
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05/08/2018
Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards
Markov Decision Processes (MDPs) are a mathematical framework for modeli...
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11/11/2016
