Co-occurring keywords · papers mentioning both
Papers
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
NeurIPS 2024
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
ICLR 2023
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning
AISTATS 2023
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL
ICLR 2023
Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs
ICLR 2023
A Simple Reward-free Approach to Constrained Reinforcement Learning
ICML 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
ICML 2022
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework
AAAI 2021
Near Optimal Reward-Free Reinforcement Learning
ICML 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game
ICML 2021
On Reward-Free Reinforcement Learning with Linear Function Approximation
NeurIPS 2020