Efficient Exploration

Efficient Exploration is one of the main obstacles in scaling up modern deep reinforcement learning algorithms. The main challenge in Efficient Exploration is the balance between exploiting current estimates, and gaining information about poorly understood states and actions.

Source: Randomized Value Functions via Multiplicative Normalizing Flows

Papers

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Showing 451–475 of 514 papers

Title	Date	Tasks	Status
Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II	Jul 31, 2018	Efficient Exploration	—Unverified
Learning to Interrupt: A Hierarchical Deep Reinforcement Learning Framework for Efficient Exploration	Jul 30, 2018	Deep Reinforcement LearningEfficient Exploration	—Unverified
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism	Jul 13, 2018	Efficient Exploration	—Unverified
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes	Jul 6, 2018	Efficient Exploration	CodeCode Available
Goal-oriented Trajectories for Efficient Exploration	Jul 5, 2018	Efficient Explorationreinforcement-learning	—Unverified
Curiosity Driven Exploration of Learned Disentangled Goal Spaces	Jul 4, 2018	DiversityEfficient Exploration	CodeCode Available
Efficient Gradient-Free Variational Inference using Policy Search	Jul 1, 2018	Efficient ExplorationVariational Inference	CodeCode Available
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards	Jun 25, 2018	Continuous ControlEfficient Exploration	CodeCode Available
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents	Jun 16, 2018	Efficient Explorationreinforcement-learning	CodeCode Available
Meta-Learning for Stochastic Gradient MCMC	Jun 12, 2018	Efficient ExplorationMeta-Learning	CodeCode Available
Randomized Value Functions via Multiplicative Normalizing Flows	Jun 6, 2018	Efficient ExplorationThompson Sampling	CodeCode Available
A Web-scale system for scientific knowledge exploration	May 30, 2018	Efficient ExplorationTAG	—Unverified
When Simple Exploration is Sample Efficient: Identifying Sufficient Conditions for Random Exploration to Yield PAC RL Algorithms	May 23, 2018	Efficient ExplorationQ-Learning	—Unverified
Efficient Exploration of Gradient Space for Online Learning to Rank	May 18, 2018	Efficient ExplorationLearning-To-Rank	—Unverified
Exploration by Distributional Reinforcement Learning	May 4, 2018	Deep Reinforcement LearningDistributional Reinforcement Learning	—Unverified
A Human Mixed Strategy Approach to Deep Reinforcement Learning	Apr 5, 2018	Atari GamesDeep Reinforcement Learning	—Unverified
Variance Networks: When Expectation Does Not Meet Your Expectations	Mar 10, 2018	Efficient ExplorationReinforcement Learning	CodeCode Available
Dimension-Robust MCMC in Bayesian Inverse Problems	Mar 9, 2018	Active LearningEfficient Exploration	—Unverified
Efficient Exploration through Bayesian Deep Q-Networks	Feb 13, 2018	Atari GamesEfficient Exploration	CodeCode Available
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning	Feb 13, 2018	Deep Reinforcement LearningDiversity	—Unverified
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning	Feb 12, 2018	Efficient Explorationreinforcement-learning	CodeCode Available
Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning	Dec 22, 2017	Deep Reinforcement LearningEfficient Exploration	CodeCode Available
The Eigenoption-Critic Framework	Dec 11, 2017	Efficient ExplorationHierarchical Reinforcement Learning	—Unverified
Reinforced dynamics for enhanced sampling in large atomic and molecular systems	Dec 10, 2017	Deep Reinforcement LearningEfficient Exploration	—Unverified
Noisy Natural Gradient as Variational Inference	Dec 6, 2017	Active LearningEfficient Exploration	CodeCode Available

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