markov decision process

Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions IJCAI 2021 Temporal Difference Learning as Gradient Splitting ICML 2021 Temporally Abstract Partial Models NeurIPS 2021 The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition NeurIPS 2021 Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning ICML 2021 Towards Instance-Optimal Offline Reinforcement Learning with Pessimism NeurIPS 2021 Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract) AAAI 2021 Twice regularized MDPs and the equivalence between robustness and regularization NeurIPS 2021 UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021 Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization NeurIPS 2021 Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021 Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images AAAI 2021 Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics ICLR 2021 Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NeurIPS 2021 Active Model Estimation in Markov Decision Processes UAI 2020 A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020 A Duality Approach for Regret Minimization in Average-Award Ergodic Markov Decision Processes L4DC 2020 A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020 A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change ICML 2020 A Multi-Objective Approach to Mitigate Negative Side Effects IJCAI 2020 Apprenticeship Learning via Frank-Wolfe AAAI 2020 AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020 A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes AAAI 2020 Bayesian Decision Process for Budget-efficient Crowdsourced Clustering IJCAI 2020 Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020