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

Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning AAAI 2023
Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023
AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract) AAAI 2023
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers AAAI 2023
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs AAAI 2023
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees IJCAI 2023
Optimal Decision Tree Policies for Markov Decision Processes IJCAI 2023
A Fair Incentive Scheme for Community Health Workers AAAI 2023
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization NIPS 2023
A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning IJCAI 2023
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects AAAI 2023
On the Convergence Rates of Policy Gradient Methods JMLR 2022
Stateful Offline Contextual Policy Evaluation and Learning AISTATS 2022
Shared Autonomy Systems with Stochastic Operator Models IJCAI 2022
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs NIPS 2022
Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model AISTATS 2022
The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022
Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs AISTATS 2022
Towards Return Parity in Markov Decision Processes AISTATS 2022
Meta Learning MDPs with linear transition models AISTATS 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy AISTATS 2022
iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control AAAI 2022
VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract) AAAI 2022