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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 51–100 of 514 papers

TitleStatusHype
Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic LearningCode1
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte CarloCode1
Learning Exploration Policies for NavigationCode1
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* NeighborhoodCode1
NovelD: A Simple yet Effective Exploration CriterionCode1
Contextualizing biological perturbation experiments through languageCode1
GeoThermalCloud: Machine Learning for Geothermal Resource ExplorationCode1
HyperDQN: A Randomized Exploration Method for Deep Reinforcement LearningCode1
A Survey of Label-Efficient Deep Learning for 3D Point CloudsCode1
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven ExplorationCode1
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?Code1
Latent World Models For Intrinsically Motivated ExplorationCode1
Evolutionary Large Language Model for Automated Feature TransformationCode1
Generative Colorization of Structured Mobile Web PagesCode1
SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and PlanningCode1
Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid LocomotionCode1
Adversarially Guided Actor-CriticCode1
MADE: Exploration via Maximizing Deviation from Explored RegionsCode1
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning—0
BooVI: Provably Efficient Bootstrapped Value Iteration—0
MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores—0
A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration—0
Biased Estimates of Advantages over Path Ensembles—0
KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance—0
DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems—0
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning—0
Beyond Games: Bringing Exploration to Robots in Real-world—0
Approximate information for efficient exploration-exploitation strategies—0
An Offline Reinforcement Learning Algorithm Customized for Multi-Task Fusion in Large-Scale Recommender Systems—0
Better Exploration with Optimistic Actor-Critic—0
A Compression-Inspired Framework for Macro Discovery—0
Divide and Explore: Multi-Agent Separate Exploration with Shared Intrinsic Motivations—0
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience—0
Adaptive Exploration for Multi-Reward Multi-Policy Evaluation—0
Distributional Perturbation for Efficient Exploration in Distributional Reinforcement Learning—0
β-DQN: Improving Deep Q-Learning By Evolving the Behavior—0
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems—0
An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm—0
Distributional Reinforcement Learning for Efficient Exploration—0
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems—0
Bayesian optimization of distributed neurodynamical controller models for spatial navigation—0
Adaptformer: Sequence models as adaptive iterative planners—0
Data-Efficient Exploration with Self Play for Atari—0
Bayesian optimisation of large-scale photonic reservoir computers—0
A Natural Extension To Online Algorithms For Hybrid RL With Limited Coverage—0
CURO: Curriculum Learning for Relative Overgeneralization—0
A Community Based Algorithm for Large Scale Web Service Composition—0
Deep Active Ensemble Sampling For Image Classification—0
Discovering Context Specific Causal Relationships—0
Distilling Realizable Students from Unrealizable Teachers—0
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