Tim Warr

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 17 citations into it

Whom Tim Warr trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Michael L. Littman

Papers from Tim Warr's perspective

Ordered by how strongly the researchers Tim Warr trusts endorse each paper. Same corpus, a different order for every researcher.

1. Markov Games as a Framework for Multi-Agent Reinforcement Learning
2. Learning Multiagent Communication with Backpropagation
3. Learning to Communicate with Deep Multi-Agent Reinforcement Learning (Neural Information Processing Systems)
4. Emergence of Grounded Compositional Language in Multi-Agent Populations
5. Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
6. Maximum a Posteriori Policy Optimisation
7. A Framework for Sequential Planning in Multi-Agent Settings
8. The Complexity of Decentralized Control of Markov Decision Processes
9. Opponent Modeling in Deep Reinforcement Learning
10. Does the chimpanzee have a theory of mind?

Their papers

• Learning to Communicate Implicitly by Actions (2018) — 35 citations