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 51–75 of 514 papers

Title	Date	Tasks	Status	Hype
Adversarially Guided Actor-Critic	Feb 8, 2021	Deep Reinforcement LearningEfficient Exploration	CodeCode Available	1
BeBold: Exploration Beyond the Boundary of Explored Regions	Dec 15, 2020	Deep Reinforcement LearningEfficient Exploration	CodeCode Available	1
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood	Nov 23, 2020	Combinatorial OptimizationEfficient Exploration	CodeCode Available	1
Latent World Models For Intrinsically Motivated Exploration	Oct 5, 2020	Efficient ExplorationNovelty Detection	CodeCode Available	1
Novelty Search in Representational Space for Sample Efficient Exploration	Sep 28, 2020	Efficient Exploration	CodeCode Available	1
Occupancy Anticipation for Efficient Exploration and Navigation	Aug 21, 2020	Decision MakingEfficient Exploration	CodeCode Available	1
DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop	Aug 10, 2020	Active LearningEfficient Exploration	CodeCode Available	1
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning	Jul 9, 2020	Deep Reinforcement LearningDiversity	CodeCode Available	1
See, Hear, Explore: Curiosity via Audio-Visual Association	Jul 7, 2020	Efficient Exploration	CodeCode Available	1
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration	Jun 15, 2020	Efficient ExplorationMeta Reinforcement Learning	CodeCode Available	1
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning	Jun 12, 2020	Efficient ExplorationMulti-agent Reinforcement Learning	CodeCode Available	1
Scaling MAP-Elites to Deep Neuroevolution	Mar 3, 2020	DiversityEfficient Exploration	CodeCode Available	1
Optimistic Exploration even with a Pessimistic Initialisation	Feb 26, 2020	Efficient ExplorationQ-Learning	CodeCode Available	1
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies	Jan 1, 2020	Efficient ExplorationMeta Reinforcement Learning	CodeCode Available	1
Self-Supervised Exploration via Disagreement	Jun 10, 2019	Active LearningEfficient Exploration	CodeCode Available	1
Learning Exploration Policies for Navigation	Mar 5, 2019	Efficient ExplorationGeneral Reinforcement Learning	CodeCode Available	1
Model-Based Active Exploration	Oct 29, 2018	Efficient Explorationmodel	CodeCode Available	1
Automatic chemical design using a data-driven continuous representation of molecules	Oct 7, 2016	DecoderEfficient Exploration	CodeCode Available	1
MOORL: A Framework for Integrating Offline-Online Reinforcement Learning	Jun 11, 2025	D4RLDeep Reinforcement Learning	—Unverified	0
Go-Browse: Training Web Agents with Structured Exploration	Jun 4, 2025	Efficient ExplorationLanguage Modeling	—Unverified	0
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience	Jun 4, 2025	Efficient ExplorationEquation Discovery	—Unverified	0
WoMAP: World Models For Embodied Open-Vocabulary Object Localization	Jun 2, 2025	Active Object LocalizationEfficient Exploration	—Unverified	0
HelixDesign-Binder: A Scalable Production-Grade Platform for Binder Design Built on HelixFold3	May 28, 2025	BenchmarkingEfficient Exploration	—Unverified	0
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning	May 26, 2025	Efficient Explorationreinforcement-learning	CodeCode Available	0
STAR-R1: Spacial TrAnsformation Reasoning by Reinforcing Multimodal LLMs	May 21, 2025	Efficient ExplorationReinforcement Learning (RL)	CodeCode Available	0

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