Co-occurring keywords · papers mentioning both
Papers
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models
UAI 2023
Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning
NeurIPS 2023
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
NeurIPS 2021
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning
ACML 2020
Sparse Graphical Memory for Robust Planning
NeurIPS 2020
State Aggregation Learning from Markov Transition Data
NeurIPS 2019
Unsupervised Basis Function Adaptation for Reinforcement Learning
JMLR 2019
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
NeurIPS 2014
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning
NeurIPS 2012