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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

TitleStatusHype
MAMBA: an Effective World Model Approach for Meta-Reinforcement LearningCode1
HyperDQN: A Randomized Exploration Method for Deep Reinforcement LearningCode1
Model-Based Active ExplorationCode1
NovelD: A Simple yet Effective Exploration CriterionCode1
Novelty Search in Representational Space for Sample Efficient ExplorationCode1
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic EnvironmentsCode1
SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and PlanningCode1
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-GraspsCode1
Automatic chemical design using a data-driven continuous representation of moleculesCode1
Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid LocomotionCode1
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial GamesCode1
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven ExplorationCode1
Evolutionary Large Language Model for Automated Feature TransformationCode1
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep NetworksCode1
GeoThermalCloud: Machine Learning for Geothermal Resource ExplorationCode1
Hierarchical Skills for Efficient ExplorationCode1
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* NeighborhoodCode1
A Langevin-like Sampler for Discrete DistributionsCode1
Adversarially Guided Actor-CriticCode1
BeBold: Exploration Beyond the Boundary of Explored RegionsCode1
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic LearningCode1
DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the LoopCode1
A Survey of Label-Efficient Deep Learning for 3D Point CloudsCode1
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?Code1
Contextualizing biological perturbation experiments through languageCode1
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