Search Results for author:
Found 2 papers, 1 papers with code
GriddlyJS: A Web IDE for Reinforcement Learning
Progress in reinforcement learning (RL) research is often driven by the design of new, challenging environments -- a costly undertaking requiring skills orthogonal to that of a typical machine learning researcher.
Generalising Discrete Action Spaces with Conditional Action Trees
There are relatively few conventions followed in reinforcement learning (RL) environments to structure the action spaces.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
