Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym

no code implementations • 2 Feb 2021 • Matthew E. Taylor, Nicholas Nissen, YuAn Wang, Neda Navidi

OpenAI Gym is a common framework for RL research, including a large number of standard environments and agents, making RL research significantly more accessible.

OpenAI Gym Reinforcement Learning (RL)

Human and Multi-Agent collaboration in a human-MARL teaming framework

no code implementations • 12 Jun 2020 • Neda Navidi, Francoi Chabo, Saga Kurandwa, Iv Lutigma, Vincent Robt, Gregry Szrftgr, Andea Schuh

Reinforcement learning provides effective results with agents learning from their observations, received rewards, and internal interactions between agents.

Multi-agent Reinforcement Learning Q-Learning +2

Human AI interaction loop training: New approach for interactive reinforcement learning

no code implementations • 9 Mar 2020 • Neda Navidi

A human teacher and an agent learner are considered in this study.

Imitation Learning OpenAI Gym +2