Learning in POMDPs is Sample-Efficient with Hindsight Observability

Learning in POMDPs is Sample-Efficient with Hindsight Observability

31 January 2023

Tong Zhang

Papers citing "Learning in POMDPs is Sample-Efficient with Hindsight Observability"

6 / 6 papers shown

Title
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 34 2 0 18 May 2024
Posterior Sampling-based Online Learning for Episodic POMDPs Dengwang Tang Dongze Ye Rahul Jain A. Nayyar Pierluigi Nuzzo OffRL 31 0 0 16 Oct 2023
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms Fan Chen Yu Bai Song Mei 53 22 0 29 Sep 2022
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun 53 6 0 24 Jun 2022
Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 43 17 0 26 May 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017