Comparison of the numerical solutions with the other methods for <i>α</i> = 0.75 and different choices of <i>n</i> for Example 1. by Mahmoud Abd El-Hady (20558624)

Overall RL control framework. by Kübra Akbaş (18611351)

Significance analysis of different feature groups and classifiers on the Real-Life trials dataset (RL) as reported in [51] and the Rolling-Dice Experiment (RDE). by Dmitri Bershadskyy (14684464)

Portable Library for Reinforcement Learning on Cloud Cyberinfrastructure by Sanmukh Kuppannagari (21798863)

“…The library will build upon and harden the research artifacts developed in the recent NSF-funded work of the investigators on accelerating RL on CPU-FPGA platforms. It will be portable to various heterogeneous cyber infrastructures and support a wide range of RL hyperparameters, algorithms, and policy models. …”

Image 1_Constructing ancestral recombination graphs through reinforcement learning.eps by Mélanie Raymond (21195551)

“…</p>Results<p>Our results show that RL can be used to build ARGs with as few recombination events as those built with a heuristic algorithm optimized to build minimal ARGs, and sometimes even fewer. …”

Image 2_Constructing ancestral recombination graphs through reinforcement learning.eps by Mélanie Raymond (21195551)

“…</p>Results<p>Our results show that RL can be used to build ARGs with as few recombination events as those built with a heuristic algorithm optimized to build minimal ARGs, and sometimes even fewer. …”

Data Sheet 1_Constructing ancestral recombination graphs through reinforcement learning.pdf by Mélanie Raymond (21195551)

“…</p>Results<p>Our results show that RL can be used to build ARGs with as few recombination events as those built with a heuristic algorithm optimized to build minimal ARGs, and sometimes even fewer. …”

Image 3_Constructing ancestral recombination graphs through reinforcement learning.eps by Mélanie Raymond (21195551)

“…</p>Results<p>Our results show that RL can be used to build ARGs with as few recombination events as those built with a heuristic algorithm optimized to build minimal ARGs, and sometimes even fewer. …”

Reliable safety decision-making for autonomous vehicles: a safety assurance reinforcement learning by Yuchen Niu (8104454)

“…The safety assurance includes three patterns to address different risks in the highway environment. The different scenarios are designed to compare the performance between the SARL and baseline algorithms (D3QN, RL-SA). …”