Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Information Theoretically Aided Reinforcement Learning for Embodied Agents
An information-theoretic approach to curiosity-driven reinforcement learning
Practical reinforcement learning in continuous spaces
Reinforcement learning combined with human feedback in continuous state and action spaces
Emotion in Reinforcement Learning Agents and Robots: A Survey
Probabilistic policy reuse in a reinforcement learning agent
Representation and generalization in autonomous reinforcement learning
Using Advice in Model-Based Reinforcement Learning
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
A Bayesian Framework for Reinforcement Learning
Discovering latent causes in reinforcement learning
Motivated Reinforcement Learning
Transfer in Reinforcement Learning: a Framework and a Survey
Maximum Entropy Deep Inverse Reinforcement Learning
Reinforcement Learning for Humanoid Robotics
An object-oriented representation for efficient reinforcement learning
Towards Generalization and Efficiency of Reinforcement Learning
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
Human-in-the-loop reinforcement learning
Deep Reinforcement Learning
Learning control of finite Markov chains with an explicit trade-off between estimation and control
Saliency Detection on Light Field
Electronic switching in phase-change memories
Primitive adaptive critics
Networking Models in Flying Ad-Hoc Networks (FANETs): Concepts and Challenges