Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization

13 December 2021

Papers citing "Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization"

6 / 6 papers shown

Title
Adaptive Instrument Design for Indirect Experiments Yash Chandak Shiv Shankar Vasilis Syrgkanis Emma Brunskill 42 4 0 05 Dec 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning Riccardo Poiani Alberto Maria Metelli Marcello Restelli 29 2 0 07 May 2023
Predictive Experience Replay for Continual Visual Control and Forecasting Wendong Zhang Geng Chen Xiangming Zhu Siyu Gao Yunbo Wang Xiaokang Yang CLL 60 3 0 12 Mar 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments Yash Chandak Shiv Shankar Nathaniel D. Bastian Bruno Castro da Silva Emma Brunskil Philip S. Thomas OffRL 52 6 0 24 Jan 2023
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning C. Steinparz Thomas Schmied Fabian Paischer Marius-Constantin Dinu Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter CLL 29 11 0 12 Jul 2022
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 56 311 0 25 Dec 2020