Chen Tang

Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization

2023 · arXiv (Cornell University)

Generalization poses a significant challenge in Multi-agent Reinforcement Learning (MARL). The extent to which an agent is influenced by unseen co-players depends on the agent's policy and the specific scenario. A quantitative examination of this …

Staleness-Centric Optimizations for Parallel Diffusion MoE Inference

2024 · arXiv (Cornell University)

Mixture-of-Experts-based (MoE-based) diffusion models demonstrate remarkable scalability in high-fidelity image generation, yet their reliance on expert parallelism introduces critical communication bottlenecks. State-of-the-art methods alleviate such overhead in parallel diffusion inference through computation-communication overlapping, termed displaced …