Holodeck – A High Fidelity Simulator for Reinforcement Learning

Today, we are excited to release the first public version of Holodeck—a high-fidelity simulator built on top of Unreal Engine 4 (UE4). Holodeck is a python package which enables you to download pre-built worlds, and interact with them through a simple, high-level interface.

Holodeck currently contains a simple sphere robot, a UAV (quadcopter), an Android, and a navigation agent. It also comes with 6 diverse default worlds. It is primarily built for research in reinforcement learning and robotics, and is built around the principles of simplicity, fidelity, customizability, and performance.
Simplicity
Holodeck uses a simple gym-like interface for loading and interacting with environments. Not only is it simple to use, but we have created custom docker containers to make it easy for you to run in a containerized environment.

env = holodeck.make(“EuropeanForest”)
env.reset()
for i in range(3000):
command = env.action_space.sample()
state, reward, terminal, info = env.step(command)

Fidelity
An ultimate goal of reinforcement learning is to train agents that


Original URL: http://feedproxy.google.com/~r/feedsapi/BwPx/~3/KJ-Bbwgfn14/

Original article

Comments are closed.

Proudly powered by WordPress | Theme: Baskerville 2 by Anders Noren.

Up ↑

%d bloggers like this: