3 papers
cs.AI2026
Athena-Brain Technical Report: An Efficient Robot Brain for General Intelligence and Embodied Interaction
Jialian Li, Junhong Liu, Yuchen Cao +6
Large language models (LLMs) have demonstrated remarkable capabilities in language understanding, reasoning, and world knowledge. As embodied agents become increasingly capable, th…
cs.AI2026
Engagement Process: Rethinking the Temporal Interface of Action and Observation
Jialian Li, Yuchen Cao, Junhong Liu +5
Task completion in digital and physical environments increasingly involves complex temporal interaction, where actions and observations unfold over different time scales rather tha…
cs.LG2025
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning
Weiran Guo, Guanjun Liu, Ziyuan Zhou +1
Reinforcement Learning (RL) is widely used in tasks where agents interact with an environment to maximize rewards. Building on this foundation, Safe Reinforcement Learning (Safe RL…