113 citations · 144 across the 22 of their papers we have counts for
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cs.LG2020
On Using Hamiltonian Monte Carlo Sampling for Reinforcement Learning Problems in High-dimension
Udari Madhushani, Biswadip Dey, Naomi Ehrich Leonard +1
Value function based reinforcement learning (RL) algorithms, for example, -learning, learn optimal policies from datasets of actions, rewards, and state transitions. However, wh…
math.OC2020★ 113 cited
Nonlinear Opinion Dynamics with Tunable Sensitivity
Anastasia Bizyaeva, Alessio Franci, Naomi Ehrich Leonard
We propose a continuous-time multi-option nonlinear generalization of classical linear weighted-average opinion dynamics. Nonlinearity is introduced by saturating opinion exchanges…