Zhipeng Hu
2021
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from Zhipeng Hu's perspective
Ordered by how strongly the researchers Zhipeng Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- Generative Adversarial Imitation Learning
- Grandmaster level in StarCraft II using multi-agent reinforcement learning
- Markov Games as a Framework for Multi-Agent Reinforcement Learning
- Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
- Diversity is All You Need: Learning Skills without a Reward Function
- Planning in the Presence of Cost Functions Controlled by an Adversary
- Open-ended Learning in Symmetric Zero-sum Games
- Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games
- Bisimulation Metrics for Continuous Markov Decision Processes
- Determinantal Point Processes for Machine Learning
Their papers
- Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games (2021) — 20 citations