Deep Gaussian Covariance Network with Trajectory Sampling for Data-Efficient Policy Searchby Can Bogoclu, Robert Vosshall,…
Safe Reinforcement Learning for Constrained Markov Decision Processes with Stochastic Stopping Timeby Abhijit Mazumdar, Rafal…
Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD…
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learningby Shivam Ratnakant Mhaskar, Nirmesh…
Sequential Decision-Making for Inline Text Autocompleteby Rohan Chitnis, Shentao Yang, Alborz GeramifardFirst submitted to arxiv…
Automated Feature Selection for Inverse Reinforcement Learningby Daulet Baimukashev, Gokhan Alcan, Ville KyrkiFirst submitted to…
Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement Learningby Esmaeel Mohammadi, Daniel Ortiz-Arroyo,…
Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium Proofby Yangchun…
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimizationby Daniel Mayfrank, Na Young…
Constrained Reinforcement Learning with Smoothed Log Barrier Functionby Baohe Zhang, Yuan Zhang, Lilli Frison, Thomas…