Bo-Zhi Zhang

SCRAMBLE: Safe Cooperative Risk-Aware Multi-Agent Belief Learning for Embodied Reinforcement Learning in Partially Observable Dynamic Environments

Safe decision-making in partially observable dynamic environments remains a fundamental challenge for multi-agent embodied reinforcement learning, where agents must cooperate with limited local observations while responding to evolving environmental changes and safety-critical interactions. Existing methods often empha...