It is common to consider two encoders similar if they are homotopic, i.e., if they can be aligned through some transformation.

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 .

NetHack is known as the frontier of reinforcement learning research where learning-based methods still need to catch up to rule-based solutions.

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

Concretely, we prove that polynomial-sized message-passing GNN's can learn the