most citedGenerative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2023★ 2 cited

Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning

Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen +2

Many problems in Reinforcement Learning (RL) seek an optimal policy with large discrete multidimensional yet unordered action spaces; these include problems in randomized allocatio…