Exploration

Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards NeurIPS 2019 Learning Transferable Graph Exploration NeurIPS 2019 MAVEN: Multi-Agent Variational Exploration NeurIPS 2019 Model Learning for Look-Ahead Exploration in Continuous Control AAAI 2019 Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NeurIPS 2019 QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019 Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NeurIPS 2019 Worst-Case Regret Bounds for Exploration via Randomized Value Functions NeurIPS 2019 A Bandit Approach to Sequential Experimental Design with False Discovery Control NeurIPS 2018 Context-dependent upper-confidence bounds for directed exploration NeurIPS 2018 Exploration in Structured Reinforcement Learning NeurIPS 2018 Meta-Reinforcement Learning of Structured Exploration Strategies NeurIPS 2018 Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling NeurIPS 2018 Count-Based Exploration with Neural Density Models ICML 2017 Efficient learning by implicit exploration in bandit problems with side observations NeurIPS 2014 lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 Efficient Exploration and Value Function Generalization in Deterministic Systems NeurIPS 2013 Information Complexity in Bandit Subset Selection COLT 2013 Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NeurIPS 2012 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012 Hierarchical Optimistic Region Selection driven by Curiosity NeurIPS 2012 Blending Autonomous Exploration and Apprenticeship Learning NeurIPS 2011 Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NeurIPS 2010 Near-Optimal Bayesian Active Learning with Noisy Observations NeurIPS 2010