Accepted

Large language model-based (LLM-based) agents have become common in settings that include non-cooperative parties. In such settings, …

Decoding visual stimuli from neural population activity is crucial for understanding the brain and for applications in brain-machine …

As future superhuman models become increasingly complex, accurately supervising their behavior may exceed human capabilities. Recent …

Understanding how reinforcement learning (RL) agents with recurrent neural network architectures encode and use memory remains an open …