Papers Unity
“Unity” 태그가 달린 논문 378편 · 필터 해제
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games
In this paper, we propose a new approach called Adaptive Behavioral Costs in Reinforcement Learning (ABC-RL) for training a human-like agent with competitive strength. While deep reinforcement learning agents have recent…
Decision MakingDeep Reinforcement LearningFPS Gamesreinforcement-learning+2Direct Iterative Reconstruction of Multiple Basis Material Images in Photon-counting Spectral CT
In this work, we perform direct material reconstruction from spectral CT data using a model based iterative reconstruction (MBIR) approach. Material concentrations are measured in volume fractions, whose total is constra…
UnityLLMR: Real-time Prompting of Interactive Worlds using Large Language Models
We present Large Language Model for Mixed Reality (LLMR), a framework for the real-time creation and modification of interactive Mixed Reality experiences using LLMs. LLMR leverages novel strategies to tackle difficult c…
Language ModelingLanguage ModellingLarge Language ModelManagement+4Mechanic Maker 2.0: Reinforcement Learning for Evaluating Generated Rules
Automated game design (AGD), the study of automatically generating game rules, has a long history in technical games research. AGD approaches generally rely on approximations of human play, either objective functions or …
Game Designreinforcement-learningReinforcement LearningReinforcement Learning (RL)+1Visual Forecasting as a Mid-level Representation for Avoidance
The challenge of navigation in environments with dynamic objects continues to be a central issue in the study of autonomous agents. While predictive methods hold promise, their reliance on precise state information makes…
UnityHuman-Inspired Topological Representations for Visual Object Recognition in Unseen Environments
Visual object recognition in unseen and cluttered indoor environments is a challenging problem for mobile robots. Toward this goal, we extend our previous work to propose the TOPS2 descriptor, and an accompanying recogni…
ClusteringObjectObject RecognitionUnityA New Framework to Estimate Return on Investment for Player Salaries in the National Basketball Association
The National Basketball Association (NBA) imposes a player salary cap. It is therefore useful to develop tools to measure the relative realized return of a player's salary given their on court performance. Very few such …
UnityData-iterative Optimization Score Model for Stable Ultra-Sparse-View CT Reconstruction
Score-based generative models (SGMs) have gained prominence in sparse-view CT reconstruction for their precise sampling of complex distributions. In SGM-based reconstruction, data consistency in the score-based diffusion…
CT ReconstructionUnityDetecting Inactive Cyberwarriors from Online Forums
The proliferation of misinformation has emerged as a new form of warfare in the information age. This type of warfare involves cyberwarriors, who deliberately propagate messages aimed at defaming opponents or fostering u…
MisinformationUnityTowards a Holodeck-style Simulation Game
We introduce Infinitia, a simulation game system that uses generative image and language models at play time to reshape all aspects of the setting and NPCs based on a short description from the player, in a way similar t…
UnityCoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning
Autonomous navigation in offroad environments has been extensively studied in the robotics field. However, navigation in covert situations where an autonomous vehicle needs to remain hidden from outside observers remains…
Autonomous NavigationDeep Reinforcement LearningUnityRobust Localization with Visual-Inertial Odometry Constraints for Markerless Mobile AR
Visual Inertial Odometry (VIO) is an essential component of modern Augmented Reality (AR) applications. However, VIO only tracks the relative pose of the device, leading to drift over time. Absolute pose estimation metho…
Pose EstimationUnityLet's Give a Voice to Conversational Agents in Virtual Reality
The dialogue experience with conversational agents can be greatly enhanced with multimodal and immersive interactions in virtual reality. In this work, we present an open-source architecture with the goal of simplifying …
Speech-to-Texttext-to-speechText to SpeechUnityLimit Theory under Network Dependence and Nonstationarity
These lecture notes represent supplementary material for a short course on time series econometrics and network econometrics. We give emphasis on limit theory for time series regression models as well as the use of the l…
EconometricsregressionTime SeriesTime Series Regression+1Power Transfer between Two Antenna Arrays in the Near Field
We present numerical results with a focus on power transfer between two standard linear antenna arrays placed in the near field, where a much smaller active multi-antenna feeder (AMAF) space feeds a far larger passive ar…
UnityThe channel capacity of the ribosome
Translation is one of the most fundamental processes in the biological cell. Because of the central role that translation plays across all domains of life, the enzyme that carries out this process, the ribosome, is requi…
TranslationUnityBootstrapping Nonstationary Autoregressive Processes with Predictive Regression Models
We establish the asymptotic validity of the bootstrap-based IVX estimator proposed by Phillips and Magdalinos (2009) for the predictive regression model parameter based on a local-to-unity specification of the autoregres…
regressionUnityAdjusting the nuclear reactor's neutron transport and diffusion theory for an alternative description and modelling of postage or supplies delivery processes
There seems to exist significant similarities between a reactor system and a supply chain from collection to delivery. In the reactor case, neutrons are continuously produced and absorbed in nuclear fuel. In a supply sys…
UnityBrain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models
In this perspective paper, we first comprehensively review existing evaluations of Large Language Models (LLMs) using both standardized tests and ability-oriented benchmarks. We pinpoint several problems with current eva…
UnityA Neural Network-Based Enrichment of Reproducing Kernel Approximation for Modeling Brittle Fracture
Numerical modeling of localizations is a challenging task due to the evolving rough solution in which the localization paths are not predefined. Despite decades of efforts, there is a need for innovative discretization-i…
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