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 176–200 of 514 papers

Title	Date	Tasks	Status	Score
Few-shot_LLM_Synthetic_Data_with_Distribution_Matching	Feb 9, 2025	AttributeEfficient Exploration	CodeCode Available	5
Count-Based Exploration with the Successor Representation	Jul 31, 2018	Atari GamesEfficient Exploration	CodeCode Available	5
Noisy Networks for Exploration	Jun 30, 2017	Atari GamesDeep Reinforcement Learning	CodeCode Available	5
Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games	May 1, 2022	Deep Reinforcement LearningEfficient Exploration	CodeCode Available	5
Personalized Algorithmic Recourse with Preference Elicitation	May 27, 2022	Efficient Exploration	CodeCode Available	5
Estimating Risk and Uncertainty in Deep Reinforcement Learning	May 23, 2019	Bayesian InferenceDeep Reinforcement Learning	CodeCode Available	5
EXPODE: EXploiting POlicy Discrepancy for Efficient Exploration in Multi-agent Reinforcement Learning	May 30, 2023	Efficient ExplorationMulti-agent Reinforcement Learning	CodeCode Available	5
A diversity-enhanced genetic algorithm for efficient exploration of parameter spaces	Dec 22, 2024	DiversityEfficient Exploration	CodeCode Available	5
Feature Interaction Aware Automated Data Representation Transformation	Sep 29, 2023	Automated Feature EngineeringDecision Making	CodeCode Available	5
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration	Jun 2, 2020	DiversityEfficient Exploration	CodeCode Available	5
Online Limited Memory Neural-Linear Bandits with Likelihood Matching	Feb 7, 2021	Efficient ExplorationMulti-Armed Bandits	CodeCode Available	5
Exploring through Random Curiosity with General Value Functions	Nov 18, 2022	Efficient Exploration	CodeCode Available	5
Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning	Dec 22, 2017	Deep Reinforcement LearningEfficient Exploration	CodeCode Available	5
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning	Oct 15, 2018	DiversityEfficient Exploration	CodeCode Available	5
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward	Oct 11, 2022	Efficient Explorationreinforcement-learning	CodeCode Available	5
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning	Nov 20, 2019	Efficient Explorationreinforcement-learning	CodeCode Available	5
Principled Exploration via Optimistic Bootstrapping and Backward Induction	May 13, 2021	Deep Reinforcement LearningEfficient Exploration	CodeCode Available	5
Distributional Perturbation for Efficient Exploration in Distributional Reinforcement Learning	Sep 29, 2021	Atari GamesDescriptive	—Unverified	0
Distilling Realizable Students from Unrealizable Teachers	May 14, 2025	Efficient ExplorationImitation Learning	—Unverified	0
Discovering Context Specific Causal Relationships	Aug 20, 2018	Causal InferenceDecision Making	—Unverified	0
BooVI: Provably Efficient Bootstrapped Value Iteration	Dec 1, 2021	Efficient ExplorationReinforcement Learning (RL)	—Unverified	0
DISCO-10M: A Large-Scale Music Dataset	Jun 23, 2023	Efficient Exploration	—Unverified	0
Directed Exploration in PAC Model-Free Reinforcement Learning	Aug 31, 2018	Efficient Explorationmodel	—Unverified	0
Biased Estimates of Advantages over Path Ensembles	Sep 15, 2019	Atari Gamescontinuous-control	—Unverified	0
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning	Jun 13, 2023	D4RLEfficient Exploration	—Unverified	0

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