Co-occurring keywords · papers mentioning both
Papers
Model-Free Active Exploration in Reinforcement Learning
NeurIPS 2023
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
ICLR 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
ICML 2023
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design
AAAI 2023
Offline Reinforcement Learning with Differential Privacy
NeurIPS 2023
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes
NeurIPS 2023
Online Hyperparameter Optimization for Class-Incremental Learning
AAAI 2023
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects
AAAI 2023
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples
AAAI 2023
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
NeurIPS 2023
Optimal Decision Tree Policies for Markov Decision Processes
IJCAI 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
NeurIPS 2023
Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics
ICLR 2023
Optimistic PAC Reinforcement Learning: the Instance-Dependent View
ALT 2023
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning
UAI 2023
Pandering in a (flexible) representative democracy
UAI 2023
Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning
EACL 2023
Persuading Farsighted Receivers in MDPs: the Power of Honesty
NeurIPS 2023
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers
AAAI 2023
Planning Multiple Epidemic Interventions with Reinforcement Learning
IJCAI 2023
Planning with Hidden Parameter Polynomial MDPs
AAAI 2023
Posterior sampling-based online learning for the stochastic shortest path model
UAI 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL
ICML 2023
Principled Data-Driven Decision Support for Cyber-Forensic Investigations
AAAI 2023
Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives
IJCAI 2023