AI Research

AI & ML Research Papers

A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.

All Papers

2 papers

Preprint2021

A minimalist approach to offline reinforcement learning

Unknown

This paper proposes a minimalist offline RL approach that avoids out-of-distribution value overestimation by constraining the policy to the data support, achieving strong performance with simple modifications.

0Jan 1, 2021Reinforcement Learning

ConferenceAAAI Conference on Artificial Intelligence2016Featured

Deep Reinforcement Learning with Double Q-Learning

Hado van Hasselt, Arthur Guez, David Silver

This paper shows that DQN overestimates action values in Atari games and proposes a Double DQN algorithm that reduces overestimation and improves performance.

9.3kMar 2, 2016Reinforcement LearningNeural Networks

arXiv