49 citations · 122 across the 14 of their papers we have counts for
3 papers · 1 filter
Increasing performance of electric vehicles in ride-hailing services using deep reinforcement learning
Jacob F. Pettit, Ruben Glatt, Jonathan R. Donadee +1
New forms of on-demand transportation such as ride-hailing and connected autonomous vehicles are proliferating, yet are a challenging use case for electric vehicles (EV). This pape…
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
Brenden K. Petersen, Mikel Landajuela, T. Nathan Mundhenk +3
Discovering the underlying mathematical expressions describing a dataset is a core challenge for artificial intelligence. This is the problem of . Des…
Single Episode Policy Transfer in Reinforcement Learning
Jiachen Yang, Brenden Petersen, Hongyuan Zha +1
Transfer and adaptation to new unknown environmental dynamics is a key challenge for reinforcement learning (RL). An even greater challenge is performing near-optimally in a single…