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Tina Zhu

2 accepted papers

2021

Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents

NeurIPS 2021poster

There has been rapidly growing interest in meta-learning as a method for increasing the flexibility and sample efficiency of reinforcement learning. One problem in this area of research, however, has been a scarcity of adequate benchmark tasks. In general, the structure underlying past benchmarks ha…

Cited by 38SourcecodeScholar
2018

Inequity aversion improves cooperation in intertemporal social dilemmas

NeurIPS 2018poster

Groups of humans are often able to find ways to cooperate with one another in complex, temporally extended social dilemmas. Models based on behavioral economics are only able to explain this phenomenon for unrealistic stateless matrix games. Recently, multi-agent reinforcement learning has been appl…

Cited by 296SourcePDFScholar