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Lie Group Algebra Convolutional Filters
We show that traditional group convolutions are one particular instantiation of a more general Lie group algebra homomorphism associated to an algebraic signal model rooted in the Lie group algebra $L^{1}(G)$ for given Lie group $G$.
Algebraic Convolutional Filters on Lie Group Algebras
Group convolutional neural networks are a useful tool for utilizing symmetries known to be in a signal; however, they require that the signal is defined on the group itself.
Zeroth-order Deterministic Policy Gradient
Deterministic Policy Gradient (DPG) removes a level of randomness from standard randomized-action Policy Gradient (PG), and demonstrates substantial empirical success for tackling complex dynamic problems involving Markov decision processes.
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation
Actor-critic algorithms combine the merits of both approaches by alternating between steps to estimate the value function and policy gradient updates.
