Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Closing the learning-planning loop with predictive state representations
Predictive State Representations: A New Theory for Modeling Dynamical Systems
Learning Abstract Planning Domains and Mappings to Real World Perceptions
Off-policy Model-based Learning under Unknown Factored Dynamics
Q-Learning in Continuous State and Action Spaces
VAIN: Attentional Multi-agent Predictive Modeling
An investigation of model-free planning
Inverse Reinforcement Learning in Large State Spaces via Function Approximation
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation
Learning Action Representations for Reinforcement Learning
Human action learning via hidden Markov model
How We Learn to Make Decisions: Rapid Propagation of Reinforcement Learning Prediction Errors in Humans
State Aware Imitation Learning
Online Planning Algorithms for POMDPs
A Neural Substrate of Prediction and Reward
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling
Towards a Unified Theory of State Abstraction for MDPs
Learning Latent Dynamics for Planning from Pixels
FF-Replan: A baseline for probabilistic planning
Prediction Driven Behavior: Learning Predictions that Drive Fixed Responses
Structure Learning in Motor Control:A Deep Reinforcement Learning Model
Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
Measuring usability of educational computer games based on the user success rate
Role of oral microbiome on oral cancers, a review.
Augmented Reality Interfaces for Additive Manufacturing
Time Perception Mechanisms at Central Nervous System