Lan, Tian

Multi-agent Deep Covering Skill Discovery

2022 · arXiv (Cornell University)

The use of skills (a.k.a., options) can greatly accelerate exploration in reinforcement learning, especially when only sparse reward signals are available. While option discovery methods have been proposed for individual agents, in multi-agent reinforcement learning …

Momentum Decoding: Open-ended Text Generation As Graph Exploration

2022 · arXiv (Cornell University)

Open-ended text generation with autoregressive language models (LMs) is one of the core tasks in natural language processing. However, maximization-based decoding methods (e.g., greedy/beam search) often lead to the degeneration problem, i.e., the generated text …