no code implementations • 20 Apr 2020 • Eric Zelikman, William Yin, Kenneth Wang
A significant challenge in developing AI that can generalize well is designing agents that learn about their world without being told what to learn, and apply that learning to challenges with sparse rewards.
no code implementations • 12 Sep 2019 • Bowen Jing, William Yin
Multi-agent reinforcement learning has shown promise on a variety of cooperative tasks as a consequence of recent developments in differentiable inter-agent communication.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 23 Dec 2018 • Peter Hansel, Nik Marda, William Yin
Traditional semantic similarity models often fail to encapsulate the external context in which texts are situated.