9 citations · 17 across the 12 of their papers we have counts for
15 papers
Adaptive Training for Nautical Rules of the Road
Amit Dutta, Sushil J. Louis
Knowledge of the nautical rules of the road is essential for safe ship navigation and collision avoidance. We evaluated adaptive and non-adaptive versions of a ship-driving simulat…
Automatic Parameter Optimization Using Genetic Algorithm in Deep Reinforcement Learning for Robotic Manipulation Tasks
Adarsh Sehgal, Nicholas Ward, Hung La +1
Learning agents can make use of Reinforcement Learning (RL) to decide their actions by using a reward function. However, the learning process is greatly influenced by the elect of…
GA+DDPG+HER: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks
Adarsh Sehgal, Nicholas Ward, Hung Manh La +2
Agents can base decisions made using reinforcement learning (RL) on a reward function. The selection of values for the learning algorithm parameters can, nevertheless, have a subst…
VORRT-COLREGs: A Hybrid Velocity Obstacles and RRT Based COLREGs-Compliant Path Planner for Autonomous Surface Vessels
Rahul Dubey, Sushil J Louis
This paper presents VORRT-COLREGs, a hybrid technique that combines velocity obstacles (VO) and rapidly-exploring random trees (RRT) to generate safe trajectories for autonomous su…
A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris +1
This paper presents a spanning tree-based genetic algorithm (GA) for the reconfiguration of electrical distribution systems with the objective of minimizing active power losses. Du…
Optimal Sizing and Siting of Multi-purpose Utility-scale Shared Energy Storage Systems
Narayan Bhusal, Mukesh Gautam, Mohammed Benidris +1
This paper proposes a nondominated sorting genetic algorithm II (NSGA-II) based approach to determine optimal or near-optimal sizing and siting of multi-purpose (e.g., voltage regu…
GPU Acceleration of Sparse Neural Networks
Aavaas Gajurel, Sushil J. Louis, Frederick C Harris
In this paper, we use graphics processing units(GPU) to accelerate sparse and arbitrary structured neural networks. Sparse networks have nodes in the network that are not fully con…
Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization
Adarsh Sehgal, Hung Manh La, Sushil J. Louis +1
Reinforcement learning (RL) enables agents to take decision based on a reward function. However, in the process of learning, the choice of values for learning algorithm parameters…
Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization
Adarsh Sehgal, Ashutosh Singandhupe, Hung Manh La +2
Lidar-Monocular Visual Odometry (LIMO), a odometry estimation algorithm, combines camera and LIght Detection And Ranging sensor (LIDAR) for visual localization by tracking camera f…
Evolutionary Multi-objective Optimization of Real-Time Strategy Micro
Rahul Dubey, Joseph Ghantous, Sushil Louis +1
We investigate an evolutionary multi-objective approach to good micro for real-time strategy games. Good micro helps a player win skirmishes and is one of the keys to developing be…
Co-evolving Real-Time Strategy Game Micro
Navin K Adhikari, Sushil J. Louis, Siming Liu +1
We investigate competitive co-evolution of unit micromanagement in real-time strategy games. Although good long-term macro-strategy and good short-term unit micromanagement both im…
Neuroevolution for RTS Micro
Aavaas Gajurel, Sushil J Louis, Daniel J Mendez +1
This paper uses neuroevolution of augmenting topologies to evolve control tactics for groups of units in real-time strategy games. In such games, players build economies to generat…
Multi-objective evolution for 3D RTS Micro
Sushil J. Louis, Siming Liu
We attack the problem of controlling teams of autonomous units during skirmishes in real-time strategy games. Earlier work had shown promise in evolving control algorithm parameter…
Collaborative Evolution of 3D Models
Juan C. Quiroz, Amit Banerjee, Sushil J. Louis +1
We present a computational model of creative design based on collaborative interactive genetic algorithms. In our model, designers individually guide interactive genetic algorithms…
Development of a Swarm UAV Simulator Integrating Realistic Motion Control Models For Disaster Operations
Kazi Tanvir Ahmed Siddiqui, David Feil-Seifer, Tianyi Jiang +3
Simulation environments for Unmanned Aerial Vehicles (UAVs) can be very useful for prototyping user interfaces and training personnel that will operate UAVs in the real world. The…