We perform functional grounding of LLMs' knowledge in BabyAI-Text
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Updated
Oct 27, 2025 - Python
We perform functional grounding of LLMs' knowledge in BabyAI-Text
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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.
Website with interactive client-side CMA-ES (blackbox optimizer) demos. Reinforcement-learning demos allow users to control RL-trained robots.
Composable DSLs for intent parsing, tool calling, and interactive reasoning in `fifo-*` agents
Multimodal dialogue planning for interactive agents in Minecraft-like worlds.
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.
EMBER is an open-source research framework for behavioral prediction of interactive agents built on a mixture-of-experts architecture a shared Transformer conditioned by dynamic profile vectors and Bayesian online changepoint detection
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