Multimodal Environment

Multimodal environments, encompassing interactions between agents and their surroundings through multiple sensory modalities (e.g., text, audio, vision), are a burgeoning research area aiming to create more robust and human-like AI systems. Current research focuses on improving compositional generalization in these environments, often employing transformer-based architectures and incorporating syntactic information to enhance understanding and grounding of language within the multimodal context. This work is significant for advancing AI capabilities in areas like human-robot collaboration and improving the reliability of reinforcement learning agents in complex, real-world scenarios.