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 26–50 of 514 papers

Title	Date	Tasks	Status	Hype	Score
HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning	Sep 29, 2021	Deep Reinforcement LearningEfficient Exploration	CodeCode Available	1	5
Latent World Models For Intrinsically Motivated Exploration	Oct 5, 2020	Efficient ExplorationNovelty Detection	CodeCode Available	1	5
Model-Based Active Exploration	Oct 29, 2018	Efficient Explorationmodel	CodeCode Available	1	5
NovelD: A Simple yet Effective Exploration Criterion	Dec 1, 2021	Atari GamesDeep Reinforcement Learning	CodeCode Available	1	5
Novelty Search in Representational Space for Sample Efficient Exploration	Sep 28, 2020	Efficient Exploration	CodeCode Available	1	5
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration	Oct 23, 2024	Efficient ExplorationReinforcement Learning (RL)	CodeCode Available	1	5
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments	Feb 3, 2025	Efficient ExplorationGraph Neural Network	CodeCode Available	1	5
Generative Colorization of Structured Mobile Web Pages	Dec 22, 2022	ColorizationEfficient Exploration	CodeCode Available	1	5
Hierarchical Skills for Efficient Exploration	Oct 20, 2021	continuous-controlContinuous Control	CodeCode Available	1	5
BeBold: Exploration Beyond the Boundary of Explored Regions	Dec 15, 2020	Deep Reinforcement LearningEfficient Exploration	CodeCode Available	1	5
Adversarially Guided Actor-Critic	Feb 8, 2021	Deep Reinforcement LearningEfficient Exploration	CodeCode Available	1	5
Automatic chemical design using a data-driven continuous representation of molecules	Oct 7, 2016	DecoderEfficient Exploration	CodeCode Available	1	5
GeoThermalCloud: Machine Learning for Geothermal Resource Exploration	Oct 17, 2022	Efficient Exploration	CodeCode Available	1	5
Evolutionary Large Language Model for Automated Feature Transformation	May 25, 2024	Efficient ExplorationEvolutionary Algorithms	CodeCode Available	1	5
SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning	Aug 17, 2022	Efficient Exploration	CodeCode Available	1	5
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning	Oct 26, 2021	Efficient ExplorationHierarchical Reinforcement Learning	CodeCode Available	1	5
Contextualizing biological perturbation experiments through language	Feb 28, 2025	Efficient Exploration	CodeCode Available	1	5
A Langevin-like Sampler for Discrete Distributions	Jun 20, 2022	Efficient ExplorationText Generation	CodeCode Available	1	5
Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis	Jan 30, 2024	Decision MakingEfficient Exploration	CodeCode Available	1	5
Learning Exploration Policies for Navigation	Mar 5, 2019	Efficient ExplorationGeneral Reinforcement Learning	CodeCode Available	1	5
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions	May 28, 2022	Arithmetic ReasoningEfficient Exploration	CodeCode Available	1	5
A Survey of Label-Efficient Deep Learning for 3D Point Clouds	May 31, 2023	Data AugmentationDeep Learning	CodeCode Available	1	5
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks	May 10, 2021	Efficient ExplorationMulti-Armed Bandits	CodeCode Available	1	5
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?	Feb 7, 2024	Bayesian OptimizationEfficient Exploration	CodeCode Available	1	5
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration	Nov 22, 2021	Efficient ExplorationMulti-agent Reinforcement Learning	CodeCode Available	1	5

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