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Exploration

86 directly classified papers

Papers per year

Papers

Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback AAAI 2021
Sequential Generative Exploration Model for Partially Observable Reinforcement Learning AAAI 2021
Reward-Free Exploration for Reinforcement Learning ICML 2020
Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning AAAI 2020
Adaptive Probing Policies for Shortest Path Routing NIPS 2020
Active Vision for Early Recognition of Human Actions CVPR 2020
Reinforcement Learning with Non-Markovian Rewards AAAI 2020
Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search AAAI 2020
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NIPS 2019
QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019
Dead-ends and Secure Exploration in Reinforcement Learning ICML 2019
Efficient Pure Exploration in Adaptive Round model NIPS 2019
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NIPS 2019
Worst-Case Regret Bounds for Exploration via Randomized Value Functions NIPS 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards NIPS 2019
Better Exploration with Optimistic Actor Critic NIPS 2019
Learning Transferable Graph Exploration NIPS 2019
Model Learning for Look-Ahead Exploration in Continuous Control AAAI 2019
Diverse Exploration via Conjugate Policies for Policy Gradient Methods AAAI 2019
MAVEN: Multi-Agent Variational Exploration NIPS 2019
A Bandit Approach to Sequential Experimental Design with False Discovery Control NIPS 2018
Meta-Reinforcement Learning of Structured Exploration Strategies NIPS 2018
Context-dependent upper-confidence bounds for directed exploration NIPS 2018
Exploration in Structured Reinforcement Learning NIPS 2018
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling NIPS 2018