In IMP, a multi-component engineering system is subject to a risk of failure due to its components' damage condition.

We revisit this scenario as an experimental case study in Section 6.

These additional behavior tokens will be augmented to the vocabulary of pretrained Multimodal Language Models. With this encoder, we then pack long-term multimodal interactions involving task instructions, memories, thoughts, observations, textual responses, behavior trajectories, etc .

Optimal auction design is a fundamental problem in algorithmic game theory.

Designing reward functions for efficiently guiding reinforcement learning (RL) agents toward specific behaviors is a complex task.

This paper explores the potential of building scalable techniques to facilitate autonomous cooperation among communicative agents, and provides insight into their "cognitive" processes. To address the challenges of achieving autonomous cooperation, we propose a novel communicative agent framework named roleplaying .