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Found 6 papers, 0 papers with code
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning
In this paper, we present the development of an isometric NMT system using Reinforcement Learning (RL), with a focus on optimizing the alignment of phoneme counts in the source and target language sentence pairs.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Actor-Critic based Improper Reinforcement Learning
For the AC-based approach we provide convergence rate guarantees to a stationary point in the basic AC case and to a global optimum in the NAC case.
Improper Reinforcement Learning with Gradient-based Policy Optimization
We consider an improper reinforcement learning setting where a learner is given $M$ base controllers for an unknown Markov decision process, and wishes to combine them optimally to produce a potentially new controller that can outperform each of the base ones.
Explicit Best Arm Identification in Linear Bandits Using No-Regret Learners
We study the problem of best arm identification in linearly parameterised multi-armed bandits.
Towards Optimal and Efficient Best Arm Identification in Linear Bandits
We give a new algorithm for best arm identification in linearly parameterised bandits in the fixed confidence setting.
Low-rank Bandits with Latent Mixtures
This induces a low-rank structure on the matrix of expected rewards r a, b from recommending item a to user b.
