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Natural Language Text Games for Reinforcement Learning
Reinforcement learning (RL) is a subfield of machine learning that focuses on how something might act in a given environment to maximize a given reward. The algorithms study subjects' behavior in such environments and learn to optimize it.
One of the areas where it is used extensively is Text Games which has Natural Language as core component. The partially observable environments in the game makes it interesting for the algorithm to adapt.
In Text Game Generation, there are 2 main generation tools and engine to make the RL agent interact.
- TextWorld: Logic Engine to create new new game worlds.
- Jericho: Tool for supporting a set of human-made interactive fiction games.
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Natural language processing
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