TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE

Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms

16 Jul 2018 • Peyman Tavallali • Gary B. Doran Jr. • Lukas Mandrake

In this article, we sketch an algorithm that extends the Q-learning algorithms to the continuous action space domain. Our method is based on the discretization of the action space... (read more)

PDF Abstract

Code

Add Remove Mark official

No code implementations yet. Submit your code now

Tasks

Add Remove

Q-LEARNING

Datasets

OpenAI Gym

Results from the Paper

Edit

Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

Add Remove

METHOD	TYPE
Q-Learning	Off-Policy TD Control

Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms

Code Edit Add Remove Mark official

Tasks Edit Add Remove

Datasets Edit

Results from the Paper Edit

Methods used in the Paper Edit Add Remove

Code

Add Remove Mark official

Tasks

Add Remove

Datasets

Results from the Paper

Edit

Methods used in the Paper

Add Remove