30 citations · 41 across the 19 of their papers we have counts for
4 papers · 1 filter
A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections
Pei Li, Huizhong Guo, Shan Bao +1
Pedestrian safety has become an important research topic among various studies due to the increased number of pedestrian-involved crashes. To evaluate pedestrian safety proactively…
Assessing and Accelerating Coverage in Deep Reinforcement Learning
Arpan Kusari
Current deep reinforcement learning (DRL) algorithms utilize randomness in simulation environments to assume complete coverage in the state space. However, particularly in high dim…
CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem
Arpan Kusari
Inverse reinforcement learning (IRL) is used to infer the reward function from the actions of an expert running a Markov Decision Process (MDP). A novel approach using variational…
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning
Arpan Kusari, Jonathan P. How
A common approach for defining a reward function for Multi-objective Reinforcement Learning (MORL) problems is the weighted sum of the multiple objectives. The weights are then tre…