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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 101–125 of 514 papers

TitleStatusHype
Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation—0
FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching—0
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models—0
Finedeep: Mitigating Sparse Activation in Dense LLMs via Multi-Layer Fine-Grained Experts—0
Massively Scaling Explicit Policy-conditioned Value Functions—0
Causal Information Prioritization for Efficient Reinforcement Learning—0
Exploratory Diffusion Model for Unsupervised Reinforcement Learning—0
Guided Exploration for Efficient Relational Model Learning—0
Few-shot_LLM_Synthetic_Data_with_Distribution_MatchingCode0
Adaptive Exploration for Multi-Reward Multi-Policy Evaluation—0
Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning—0
Mapping Galaxy Images Across Ultraviolet, Visible and Infrared Bands Using Generative Deep LearningCode0
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability GraphsCode0
Bridging Text and Crystal Structures: Literature-driven Contrastive Learning for Materials Science—0
ActiveGAMER: Active GAussian Mapping through Efficient Rendering—0
β-DQN: Improving Deep Q-Learning By Evolving the Behavior—0
Provably Efficient Exploration in Reward Machines with Low Regret—0
A diversity-enhanced genetic algorithm for efficient exploration of parameter spacesCode0
GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering—0
GenPlan: Generative Sequence Models as Adaptive PlannersCode0
A Temporally Correlated Latent Exploration for Reinforcement Learning—0
Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning—0
Sample Efficient Robot Learning in Supervised Effect Prediction Tasks—0
CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuning—0
Adaptformer: Sequence models as adaptive iterative planners—0
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