56 citations · 265 across the 35 of their papers we have counts for
3 papers · 1 filter
Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning
Kory W. Mathewson, Patrick M. Pilarski
This paper contributes a preliminary report on the advantages and disadvantages of incorporating simultaneous human control and feedback signals in the training of a reinforcement…
Introspective Agents: Confidence Measures for General Value Functions
Craig Sherstan, Adam White, Marlos C. Machado +1
Agents of general intelligence deployed in real-world scenarios must adapt to ever-changing environmental conditions. While such adaptive agents may leverage engineered knowledge,…
Face valuing: Training user interfaces with facial expressions and reinforcement learning
Vivek Veeriah, Patrick M. Pilarski, Richard S. Sutton
An important application of interactive machine learning is extending or amplifying the cognitive and physical capabilities of a human. To accomplish this, machines need to learn a…