Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning
Lev Grossman,Brian Plancher,Lev Grossman,Brian Plancher
Perceptive deep reinforcement learning (DRL) has lead to many recent breakthroughs for complex AI systems leveraging image-based input data. Applications of these results range from super-human level video game agents to dexterous, physically intelligent robots. However, training these perceptive DRL-enabled systems remains incredibly compute and memory intensive, often requiring huge training dat...
