1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.RO2022★ 1 cited
Achieving Goals using Reward Shaping and Curriculum Learning
Mihai Anca, Jonathan D. Thomas, Dabal Pedamonti +2
Real-time control for robotics is a popular research area in the reinforcement learning community. Through the use of techniques such as reward shaping, researchers have managed to…
cs.AI2021★ 1 cited
Multi-lingual agents through multi-headed neural networks
J. D. Thomas, R. Santos-Rodríguez, R. Piechocki +1
This paper considers cooperative Multi-Agent Reinforcement Learning, focusing on emergent communication in settings where multiple pairs of independent learners interact at varying…