Context-sensitive reward shaping for sparse interaction multi-agent systems

By Yann-Michaël De Hauwere, Sam Devlin, Daniel Kudenko, Ann Nowé. 2016

7 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yujing Hu
2. Yang Gao
3. Yingfeng Chen
4. Changjie Fan
5. Weixun Wang
6. Tianpei Yang
7. Jianye Hao
8. Shimon Whiteson

In Computer Networks and Communications

1. Yujing Hu
2. Yang Gao

In Electrical and Electronic Engineering

1. Jianye Hao
2. Yang Gao

Citations in the corpus

• Action Semantics Network: Considering the Effects of Actions in Multiagent Systems (2019, background): “However, there also exist a lot of challenges in multiagent systems (MASs) since agents’ behaviors are influenced by each other and the environment exhibits more stochasticity and uncertainties (Claus & Boutilier, 1998; Hu & Wellman, 1998; Bu et al., 2008; Hauwere et al., 2016).”