Vihang P. Patil

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution pdf

Sepp Hochreiter, Markus Hofmarcher, Matthias Dorfer, 2020, ArXiv.

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution

Jose A. Arjona-Medina, Vihang P. Patil, S. Hochreiter, 2020, ICML.

History Compression via Language Models in Reinforcement Learning

Vihang P. Patil, S. Hochreiter, Markus Holzleitner, 2022, International Conference on Machine Learning.

Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning

Vihang P. Patil, S. Hochreiter, Hamid Eghbal-zadeh, 2022, CoLLAs.

R EACTIVE E XPLORATION TO C OPE WITH N ON -S TATIONARITY IN L IFELONG R EINFORCEMENT L EARNING

Vihang P. Patil, S. Hochreiter, Hamid Eghbal-zadeh, 2022 .

History Compression via Language Models in Reinforcement Learning

Vihang P. Patil, S. Hochreiter, Markus Holzleitner, 2022, ICML.

Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning

Vihang P. Patil, S. Hochreiter, Hamid Eghbal-zadeh, 2022, CoLLAs.

A Dataset Perspective on Offline Reinforcement Learning

Vihang P. Patil, S. Hochreiter, Hamid Eghbal-zadeh, 2021, CoLLAs.