Co-occurring keywords · papers mentioning both
Papers
Design of Experiments for Stochastic Contextual Linear Bandits
NeurIPS 2021
Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness
IJCAI 2021
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework
AAAI 2021
Exploration of Unknown Environments Using Deep Reinforcement Learning
AAAI 2021
Exploration via State influence Modeling
AAAI 2021
Guided Exploration with Proximal Policy Optimization using a Single Demonstration
ICML 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
NeurIPS 2021
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
ICML 2021
Meta-Learning Effective Exploration Strategies for Contextual Bandits
AAAI 2021
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
IJCAI 2021
NovelD: A Simple yet Effective Exploration Criterion
NeurIPS 2021
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies
NeurIPS 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models
CoRL 2021
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism
ICML 2021
Type-WA*: Using Exploration in Bounded Suboptimal Planning
IJCAI 2021
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies
AAAI 2020
Corpus-Level End-to-End Exploration for Interactive Systems
AAAI 2020
Exploration Based Language Learning for Text-Based Games
IJCAI 2020
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning
IJCAI 2020
Generative Exploration and Exploitation
AAAI 2020
Geometric Exploration for Online Control
NeurIPS 2020
Guiding CDCL SAT Search via Random Exploration amid Conflict Depression
AAAI 2020
Intrinsic Reward Driven Imitation Learning via Generative Model
ICML 2020
Never Give Up: Learning Directed Exploration Strategies
ICLR 2020
Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract)
AAAI 2020