Search Results for author:
Found 3 papers, 1 papers with code
Reasoning with Large Language Models, a Survey
The field started with the question whether LLMs can solve grade school math word problems.
Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks
We benchmark both deep policy networks and networks consisting of a single linear layer from observations to actions for three gradient-based methods, such as Proximal Policy Optimization.
Deep Multiagent Reinforcement Learning: Challenges and Directions
This paper surveys the field of deep multiagent reinforcement learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
