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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 1–25 of 514 papers

TitleStatusHype
Cradle: Empowering Foundation Agents Towards General Computer ControlCode7
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization ApproachCode7
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical ReasoningCode5
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and CosmologyCode2
MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary ProgrammingCode2
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language NavigationCode2
Online Decision TransformerCode2
Iterated Denoising Energy Matching for Sampling from Boltzmann DensitiesCode2
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction FollowingCode2
GenNBV: Generalizable Next-Best-View Policy for Active 3D ReconstructionCode2
Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical RobotCode2
ForesightNav: Learning Scene Imagination for Efficient ExplorationCode2
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* NeighborhoodCode1
Hierarchical Skills for Efficient ExplorationCode1
HyperDQN: A Randomized Exploration Method for Deep Reinforcement LearningCode1
GeoThermalCloud: Machine Learning for Geothermal Resource ExplorationCode1
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?Code1
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
Evolutionary Large Language Model for Automated Feature TransformationCode1
A Langevin-like Sampler for Discrete DistributionsCode1
Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid LocomotionCode1
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial GamesCode1
A Survey of Label-Efficient Deep Learning for 3D Point CloudsCode1
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven ExplorationCode1
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