2020.01.05 AI papers

12-31-2019	Intrinsic motivations and open-ended learning by Gianluca Baldassarre
01-01-2020	Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies by Sungryull Sohn et al
12-31-2019	Towards Neural-Guided Program Synthesis for Linear Temporal Logic Specifications by Alberto Camacho et al
01-01-2020	Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach by Ramin Ayanzadeh et al
12-31-2019	Representation Internal-Manipulation (RIM): A Neuro-Inspired Computational Theory of Consciousness by Gianluca Baldassarre et al
12-31-2019	Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning by Andreas Sedlmeier et al
12-31-2019	oLMpics -- On what Language Model Pre-training Captures by Alon Talmor et al
01-01-2020	Options of Interest: Temporal Abstraction with Interest Functions by Khimya Khetarpal et al
12-31-2019	Reinforcement Learning with Goal-Distance Gradient by Kai Jiang et al
12-31-2019	Definitions and Semantic Simulations Based on Object-Oriented Analysis and Modeling by Robert B. Allen
01-02-2020	Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation by Letian Chen et al
12-31-2019	Leveraging Semi-Supervised Learning for Fairness using Neural Networks by Vahid Noroozi et al
01-02-2020	On Consequentialism and Fairness by Dallas Card et al
12-31-2019	The Gamblers Problem and Beyond by Baoxiang Wang et al
01-02-2020	Informal Data Transformation Considered Harmful by Eric Daimler et al
12-31-2019	Emergent Behaviors from Folksonomy Driven Interactions by Massimiliano Dal Mas