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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 76–100 of 514 papers

TitleStatusHype
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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