We perform functional grounding of LLMs' knowledge in BabyAI-Text
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Updated
Aug 23, 2024 - Python
We perform functional grounding of LLMs' knowledge in BabyAI-Text
Website with interactive client-side CMA-ES (blackbox optimizer) demos. Reinforcement-learning demos allow users to control RL-trained robots.
Integrating GPT-4 with Vision into a reinforcement learning framework using Pygame and TensorFlow, this project enables an agent to navigate and interact within a simulated environment using advanced visual and textual input processing.
Unity mini-game for the Interactive Agents and Procedural Generation (ECS7016P) module at Queen Mary, University of London.
This project was created for ECS7016P Interactive Agents and Procedural Generation module.
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