Co-occurring keywords · papers mentioning both
Papers
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
ICML 2021
Strategically efficient exploration in competitive multi-agent reinforcement learning
UAI 2021
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
NeurIPS 2020
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation
ICML 2020
No-regret Exploration in Contextual Reinforcement Learning
UAI 2020
Optimistic Exploration even with a Pessimistic Initialisation
ICLR 2020
Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations
NeurIPS 2020
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism
ICML 2020
Better Exploration with Optimistic Actor Critic
NeurIPS 2019
Contextual Decision Processes with low Bellman rank are PAC-Learnable
ICML 2017
Count-Based Exploration in Feature Space for Reinforcement Learning
IJCAI 2017
Efficient Exploration and Value Function Generalization in Deterministic Systems
NeurIPS 2013
Eluder Dimension and the Sample Complexity of Optimistic Exploration
NeurIPS 2013
Optimistic Optimization of a Deterministic Function without the Knowledge of its Smoothness
NeurIPS 2011