Jun Luo

Reinforcement Learning · with Hao · 2019

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 — 16 citations into it

Whom Jun Luo trusts

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

1. Ming Tan (in Reinforcement Learning)

Papers from Jun Luo's perspective

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

1. Human-level control through deep reinforcement learning
2. Multi Agent Reinforcement Learning Independent vs Cooperative Agents
3. Counterfactual Multi-Agent Policy Gradients (AAAI Conference on Artificial Intelligence)
4. Learning Multiagent Communication with Backpropagation
5. Benchmarking Deep Reinforcement Learning for Continuous Control
6. Deterministic Policy Gradient Algorithms
7. Introduction to Reinforcement Learning
8. Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
9. The Complexity of Decentralized Control of Markov Decision Processes
10. Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games

Their papers

• Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning (2019) — 85 citations