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03/06/2023
Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment
Reinforcement learning (RL) has recently proven itself as a powerful ins...
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02/28/2023
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas
Achieving and maintaining cooperation between agents to accomplish a com...
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12/06/2022
Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems
Development of guidance, navigation and control frameworks/algorithms fo...
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10/29/2022
Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
In this work, we propose a self-improving artificial intelligence system...
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10/29/2022
DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving
Safely navigating through an urban environment without violating any tra...
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10/15/2022
A Scalable Reinforcement Learning Approach for Attack Allocation in Swarm to Swarm Engagement Problems
In this work we propose a reinforcement learning (RL) framework that con...
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09/28/2022
Obstacle Identification and Ellipsoidal Decomposition for Fast Motion Planning in Unknown Dynamic Environments
Collision avoidance in the presence of dynamic obstacles in unknown envi...
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06/28/2022
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning
In this study, we address the problem of efficient exploration in reinfo...
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05/31/2022
Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Manufacturing
As AI-enabled software systems become more prevalent in smart manufactur...
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11/28/2021
Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents
Multi-agent Reinforcement Learning (MARL) problems often require coopera...
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03/14/2021
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions
Applications of reinforcement learning (RL) are popular in autonomous dr...
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02/26/2021
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation
We propose a novel knowledge distillation methodology for compressing de...
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12/04/2020
Decentralized State-Dependent Markov Chain Synthesis for Swarm Guidance
This paper introduces a decentralized state-dependent Markov chain synth...
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11/28/2020
A Probabilistic Guidance Approach to Swarm-to-Swarm Engagement Problem
This paper introduces a probabilistic guidance approach for the swarm-to...
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07/29/2020
Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation
The objective of this paper is to develop a sample efficient end-to-end ...
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06/10/2020
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents
Automated lane changing is a critical feature for advanced autonomous dr...
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09/18/2019