conftrace_

markov decision process

790 papers

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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

Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward UAI 2020
No-regret Exploration in Contextual Reinforcement Learning UAI 2020
A Duality Approach for Regret Minimization in Average-Award Ergodic Markov Decision Processes L4DC 2020
Periodic Q-Learning L4DC 2020
Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes NIPS 2020
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs NIPS 2020
Stable Reinforcement Learning with Unbounded State Space L4DC 2020
Apprenticeship Learning via Frank-Wolfe AAAI 2020
Planning with Abstract Learned Models While Learning Transferable Subtasks AAAI 2020
Multi-Robot Adversarial Patrolling Strategies via Lattice Paths IJCAI 2020
Generalized Mean Estimation in Monte-Carlo Tree Search IJCAI 2020
Bayesian Decision Process for Budget-efficient Crowdsourced Clustering IJCAI 2020
A Multi-Objective Approach to Mitigate Negative Side Effects IJCAI 2020
Toward the Fundamental Limits of Imitation Learning NIPS 2020
Compact task representations as a normative model for higher-order brain activity NIPS 2020
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NIPS 2020
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars NIPS 2020
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes NIPS 2020
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs NIPS 2020
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis NIPS 2020
On Reward-Free Reinforcement Learning with Linear Function Approximation NIPS 2020
Efficient Planning in Large MDPs with Weak Linear Function Approximation NIPS 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations NIPS 2020
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret NIPS 2020
Online learning with dynamics: A minimax perspective NIPS 2020