conftrace_

markov decision process

790 papers

Explore in graph

Also known as

MDP

Co-occurring keywords

reinforcement learning (4352) regret bound (1926) sample complexity (1169) policy optimization (657) value iteration (162) online learning (1777) function approximation (319) optimal policy (93) deep reinforcement learning (903) value function (295)

Papers

Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning EMNLP 2017
Fast rates for online learning in Linearly Solvable Markov Decision Processes COLT 2017
Bridging the Gap between Observation and Decision Making: Goal Recognition and Flexible Resource Allocation in Dynamic Network Interdiction IJCAI 2017
Only H is left: Near-tight Episodic PAC RL NIPS 2016
Approximate Newton Methods for Policy Search in Markov Decision Processes JMLR 2016
Weak Convergence Properties of Constrained Emphatic Temporal-difference Learning with Constant and Slowly Diminishing Stepsize JMLR 2016
Multi-Objective Markov Decision Processes for Data-Driven Decision Support JMLR 2016
Addressing Environment Non-Stationarity by Repeating Q-learning Updates JMLR 2016
Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing JMLR 2016
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NIPS 2016
Safe Policy Improvement by Minimizing Robust Baseline Regret NIPS 2016
Improving PAC Exploration Using the Median Of Means NIPS 2016
A Stochastic Model for Computer-Aided Human-Human Dialogue INTERSPEECH 2016
Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models COLT 2016
Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies AISTATS 2016
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes NIPS 2016
Representing and Learning Complex Object Interactions RSS 2016
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics AISTATS 2016
A Fast and Reliable Policy Improvement Algorithm AISTATS 2016
Learning to Track: Online Multi-Object Tracking by Decision Making ICCV 2015
Best of Both Worlds: Human-Machine Collaboration for Object Annotation CVPR 2015
On the Rate of Convergence and Error Bounds for LSTD(λ) ICML 2015
On Convergence of Emphatic Temporal-Difference Learning COLT 2015
Non-Stationary Approximate Modified Policy Iteration ICML 2015
Multiclass Semantic Video Segmentation With Object-Level Active Inference CVPR 2015