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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

Showing 226250 of 514 papers

TitleStatusHype
Computing low-thrust transfers in the asteroid belt, a comparison between astrodynamical manipulations and a machine learning approach0
Efficient Exploration of Gradient Space for Online Learning to Rank0
Efficient Exploration in Resource-Restricted Reinforcement Learning0
Computational Discovery of Microstructured Composites with Optimal Stiffness-Toughness Trade-Offs0
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices0
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving0
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads0
Goal-oriented Trajectories for Efficient Exploration0
Diffusion Models Meet Contextual Bandits with Large Action Spaces0
Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm0
Efficient Exploration in Continuous-time Model-based Reinforcement Learning0
Go-Explore for Residential Energy Management0
GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering0
Comprehensive decision-strategy space exploration for efficient territorial planning strategies0
Guarded Policy Optimization with Imperfect Online Demonstrations0
Guided Exploration for Efficient Relational Model Learning0
Hands-Free Segmentation of Medical Volumes via Binary Inputs0
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning0
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression0
HelixDesign-Binder: A Scalable Production-Grade Platform for Binder Design Built on HelixFold30
KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance0
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path0
Efficient Exploration in Binary and Preferential Bayesian Optimization0
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search0
Aerial Active STAR-RIS-assisted Satellite-Terrestrial Covert Communications0
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