Language Learning in Interactive Environments

By Prithviraj Ammanabrolu. 2021

Subfields: Natural Language Processing, Reinforcement Learning

How researchers see this paper

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

In Natural Language Processing

1. Hannaneh Hajishirzi
2. Yejin Choi
3. Jack Hessel
4. Prithviraj Ammanabrolu
5. Mohit Bansal
6. Luke S. Zettlemoyer
7. Kianté Brantley
8. Christian Bauckhage

In Reinforcement Learning

1. Hannaneh Hajishirzi
2. Yejin Choi
3. Kianté Brantley
4. Christian Bauckhage
5. Prithviraj Ammanabrolu
6. Rafet Sifa
7. Rajkumar Ramamurthy
8. Jack Hessel

Citations in the corpus

• Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization (2022, background): “Language generation action spaces are orders of magnitude larger than what most discrete action space RL algorithms are designed for (Ranzato et al., 2016; Ammanabrolu, 2021), e.”