Scalable methods for computing state similarity in deterministic Markov Decision Processes

21 November 2019

Papers citing "Scalable methods for computing state similarity in deterministic Markov Decision Processes"

6 / 6 papers shown

Title
Provably Correct Automata Embeddings for Optimal Automata-Conditioned Reinforcement Learning Beyazit Yalcinkaya Niklas Lauffer Marcell Vazquez-Chanlatte Sanjit A. Seshia OffRL 97 0 0 06 Mar 2025
Learning Fused State Representations for Control from Multi-View Observations Zeyu Wang Yao Li Xin Li Hongyu Zang Romain Laroche Riashat Islam OffRL 64 0 0 03 Feb 2025
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup David Meger 110 0 0 03 Jan 2025
DeepMDP: Learning Continuous Latent Space Models for Representation Learning Carles Gelada Saurabh Kumar Jacob Buckman Ofir Nachum Marc G. Bellemare BDL 54 283 0 06 Jun 2019
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 70 2,992 0 19 Jul 2012
Metrics for Finite Markov Decision Processes N. Ferns Prakash Panangaden Doina Precup 63 321 0 11 Jul 2012