Text World and Word Embedding Lower Bounds
In the first half of this episode, Kyle speaks with Marc-Alexandre C\xf4t\xe9 and Wendy Tay about Text World.\xa0 Text World is an engine that simulates text adventure games.\xa0 Developers are encouraged to try out their reinforcement learning skills building agents that can programmatically interact with the generated text adventure games.
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In the second half of this episode, Kyle interviews Kevin Patel about his paper Towards Lower Bounds on Number of Dimensions for Word Embeddings.\xa0 In this research, the explore an important question of how many hidden nodes to use when creating a word embedding.