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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 326–350 of 514 papers

TitleStatusHype
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning—0
Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation—0
Volumetric Spanners: an Efficient Exploration Basis for Learning—0
Weakly-Supervised Reinforcement Learning for Controllable Behavior—0
When Simple Exploration is Sample Efficient: Identifying Sufficient Conditions for Random Exploration to Yield PAC RL Algorithms—0
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects—0
WoMAP: World Models For Embodied Open-Vocabulary Object Localization—0
World Models with Hints of Large Language Models for Goal Achieving—0
KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance—0
Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces—0
Finedeep: Mitigating Sparse Activation in Dense LLMs via Multi-Layer Fine-Grained Experts—0
FIT-SLAM -- Fisher Information and Traversability estimation-based Active SLAM for exploration in 3D environments—0
f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences—0
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for MCMC—0
Fractional Langevin Monte Carlo: Exploring Lévy Driven Stochastic Differential Equations for Markov Chain Monte Carlo—0
FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching—0
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making—0
From proprioception to long-horizon planning in novel environments: A hierarchical RL model—0
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning—0
GFlowNets for AI-Driven Scientific Discovery—0
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices—0
Goal-oriented Trajectories for Efficient Exploration—0
Go-Browse: Training Web Agents with Structured Exploration—0
Go-Explore for Residential Energy Management—0
GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering—0
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