Markov Decision Process
127 papers
Papers per year
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5
6
3
6
1
8
8
2
5
2
2
5
5
7
8
15
23
13
'10
'15
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'25
Papers
Reinforcement Learning When All Actions Are Not Always Available
AAAI 2020
Finite-Sample Analysis for SARSA with Linear Function Approximation
NeurIPS 2019
Model-Based Reinforcement Learning Exploiting State-Action Equivalence
ACML 2019
A Probabilistic Model of Social Decision Making based on Reward Maximization
NeurIPS 2016
Catching heuristics are optimal control policies
NeurIPS 2016
Basis refinement strategies for linear value function approximation in MDPs
NeurIPS 2015
Data Generation as Sequential Decision Making
NeurIPS 2015
Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability
NeurIPS 2015
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
NeurIPS 2015
When are Kalman-Filter Restless Bandits Indexable?
NeurIPS 2015
How hard is my MDP?" The distribution-norm to the rescue"
NeurIPS 2014
Optimistic Planning in Markov Decision Processes Using a Generative Model
NeurIPS 2014
Actor-Critic Algorithms for Risk-Sensitive MDPs
NeurIPS 2013
Aggregating Optimistic Planning Trees for Solving Markov Decision Processes
NeurIPS 2013
DESPOT: Online POMDP Planning with Regularization
NeurIPS 2013
Improved and Generalized Upper Bounds on the Complexity of Policy Iteration
NeurIPS 2013
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
NeurIPS 2013
Regret based Robust Solutions for Uncertain Markov Decision Processes
NeurIPS 2013
Reinforcement Learning in Robust Markov Decision Processes
NeurIPS 2013
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs
NeurIPS 2013
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes
NeurIPS 2012
Cost-Sensitive Exploration in Bayesian Reinforcement Learning
NeurIPS 2012
Learning Partially Observable Models Using Temporally Abstract Decision Trees
NeurIPS 2012
Non-parametric Approximate Dynamic Programming via the Kernel Method
NeurIPS 2012
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes
NeurIPS 2012