Search Results for author: Ryan Hope

Found 2 papers, 2 papers with code

Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark

1 code implementation • 6 Sep 2018 • Akshat Agarwal, Ryan Hope, Katia Sycara

Research in deep reinforcement learning (RL) has coalesced around improving performance on benchmarks like the Arcade Learning Environment.

Ranked #1 on Space Fortress on Autoturn

Atari Games Reinforcement Learning (RL) +1

Paper
Code

Learning Time-Sensitive Strategies in Space Fortress

1 code implementation • 17 May 2018 • Akshat Agarwal, Ryan Hope, Katia Sycara

Although there has been remarkable progress and impressive performance on reinforcement learning (RL) on Atari games, there are many problems with challenging characteristics that have not yet been explored in Deep Learning for RL.

Atari Games Reinforcement Learning (RL) +2

Paper
Code

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