3 papers
cs.LG2021
Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym
Matthew E. Taylor, Nicholas Nissen, Yuan Wang +1
Reinforcement learning (RL) is a popular machine learning paradigm for game playing, robotics control, and other sequential decision tasks. However, RL agents often have long learn…
cs.AI2020
Human and Multi-Agent collaboration in a human-MARL teaming framework
Neda Navidi, Francoi Chabo, Saga Kurandwa +4
Reinforcement learning provides effective results with agents learning from their observations, received rewards, and internal interactions between agents. This study proposes a ne…
cs.LG2020
Human AI interaction loop training: New approach for interactive reinforcement learning
Neda Navidi
Reinforcement Learning (RL) in various decision-making tasks of machine learning provides effective results with an agent learning from a stand-alone reward function. However, it p…