Skip to content
#

simulated-environments

Here are 4 public repositories matching this topic...

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

  • Updated Mar 9, 2020
  • Python

Improve this page

Add a description, image, and links to the simulated-environments topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the simulated-environments topic, visit your repo's landing page and select "manage topics."

Learn more