Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 27 for “"OpenAI"”.
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Snjallar starfsáætlanir
… bakenda og tengingu við GPT-4 í gegnum Azure OpenAI. Í ritgerðinni er farið ítarlega yfir hönnun, þróun, þarfagreiningu, prófanir og framvindu verkefnisins, ásamt áhættugreiningu og framtíðarsýn.
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Adversarial Inverse Reinforcement Learning with Noisy Observations
… problem. Experiments in four benchmark OpenAI Gym environments show that our proposed methods are effective in overcoming demonstration noise for the task of reward learning, but less so for the task of reproducing the expert behavior.</p>
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Design and evaluation of a hybrid multi-task learning model for optimizing deep reinforcement learning agents
… related tasks. Empirical results obtained with OpenAI Gym library-based Atari 2600 video gaming environment demonstrate that the proposed hybrid multi-task learning model is successful in addressing key challenges associated with the performance optimization of deep reinforcement learning agents.
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Working with APIs in App Inventor
… where they built apps that used the weather and OpenAI APIs to create their own weatherman app with ChatGPT. It was shown that this new API framework both strengthens an interest in programming and a career involving programming among students, and boosts their confidence in their ability to …
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Generation, Detection, and Evaluation of Role-play based Jailbreak attacks in Large Language Models
… guidelines laid forth by developers (e.g. OpenAI), users can trick the LLM into providing this information using a tactic called a Role-play based Jailbreak Attack. This attack consists of instructing the LLM to take on the role of a fictional character that does not adhere to the model …
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The SpaseCroissant Oven: Automatic Metadata Generation For Open-Source Space Weather Datasets
… datasets. A novel metadata schema released by OpenAI and MLCommons called Croissant, which is specifically designed for ML-ready datasets, aims to increase data accessibility, user understanding of data, and accuracy of claims based on data. However, current methods to automatically generate …
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A Study on Deploying Large Language Models as Agents
… the model’s capability. Key APIs provided by OpenAI for deploying GPT models are discussed, highlighting their functionalities and applications. Finally, the practical application of LLMs in creating Robotic Process Automation (RPA) workflows is demonstrated through a divide-and-conquer …
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Appropriate Methods for Automating the Detection of Data Leakage Prevention Events
… Large Language Models (LLMs), such as ChatGPT by OpenAI, Gemini by Google, and Claude by Anthropic, have caused significant disruption. Therefore, the following question arises: could modern DLP software utilize AI to automate the triage process? If possible, it could significantly enhance the …
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The Emotion Vectorization Algorithm (EVA): Automated Music Generation from Imaging and Emotion Inputs
… no surprise that many technology firms, such as OpenAI and Google, have trained models that can create music as well. These state-of-the-art models usually take in an artist or genre, and they output a song corresponding to the received inputs. However, none of these models are designed to …
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Interpolated Experience Replay for Improved Sample Efficiency of Model-Free Deep Reinforcement Learning Algorithms
… off-policy reinforcement learning algorithms and OpenAI Gym MuJoCo environments. This improved sample efficiency can enable agents to learn robust and generalizable policies on continuous control tasks in settings where data is limited, such as many real-world robotics tasks.
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Training and Inference in Early-Exit Deep Q-Networks for Efficient Reinforcement Learning
… environments, we assess the approach on two OpenAI Gym tasks with distinct input regimes: CartPole (vector state) and Atari Pong (pixels). Across both domains, EEDQN yields results that preserve baseline return while lowering expected per-decision FLOPs, with larger savings when many states …
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PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Latent Factor Representation
… methods and popular benchmark environments from OpenAI Gym and Mujoco, we show that PerSim consistently achieves improved performance, as measured by average reward and prediction error.
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Baby Gym: Bridging the Gap between Reinforcement Learning and Human Infant Locomotor Development
… to crawl and walk, compatible with both the OpenAI Gymnasium and DM Control APIs. Baby Gym will serve as a first step in enabling a cross-disciplinary open-source ecosystem of computational models to understand infant motor development. The work consists of the following: an extensive …
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Faster apprenticeship learning through inverse optimal control
… navigation. An evaluation performed using OpenAI RLLab suggests that this method is robust and ready to be adopted for solving problems both in research and various industries.
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Machine learning in housing design : exploration of generative adversarial network in site plan / floorplan generation
… showed much potential. Examples like AlphaGo and OpenAI Five had shown Machine Learning's capability in solving complex problems. The Architectural design industry is not an exception. Early-stage explorations of this technology are emerging and have shown potential in solving certain design …
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Sentiment analysis using unsupervised learning for local government elections in South Africa
… behind the keyboard. The study also make use of OpenAI GPT model to label the dataset for fine-tuning and addresses the issue of class imbalance. VADER and TextBlob results show a significant difference from that of the twitter-roberta-base-sentiment-latest models when comparing the statistical …
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Comparative research on code vulnerability detection: Open-source vs. proprietary large language models and LSTM neural network
… CodeGen2, LLaMA 2, and GPT, developed by OpenAI to quantitative and qualitative how suitable they are for detecting vulnerabilities, their accuracy and efficiency. Using a zero-shot classification-based approach, the study examines these models’ capabilities in detecting security risks and …
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An Evaluation Framework for Automated Audio Description
… in AI models, such as GPT-4 with Vision by OpenAI and the Pegasus-1 model by Twelvelabs, the automation of the audio description process is becoming increasingly feasible. The initial goal of this research was to create an automated system capable of generating audio description tracks …
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Ml Controllers With Memory For Robust Quadrotor Control And Research
… is learned from a pyBullet simulation using the OpenAI Gym framework. Many different training methods and control algorithms are created, tested, and their robustness compared. These methods were all implemented into a real system and their effectiveness compared empirically. The most robust …
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