Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Learning of Behavior Trees for Autonomous Agents
Evolving Behaviour Trees for the Mario AI Competition Using Grammatical Evolution
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
Planning With Agents : An Efficient Approach Using Hierarchical Dynamic Decision Networks
Steering Behaviors For Autonomous Characters
Hierarchical Control and Learning for Markov Decision Processes
Planning for Autonomous Cars that Leverage Effects on Human Actions
Learning agents for uncertain environments (extended abstract)
Model-Based Action Exploration
Deep Reinforcement Learning for Autonomous Driving
Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment
Reinforcement Learning of Hierarchical Skills on the Sony Aibo robot
Learning to Navigate in Complex Environments
Behavior-based Robotics And The Reactive Paradigm A Survey
Action Branching Architectures for Deep Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Interactive Policy Learning through Confidence-Based Autonomy
Learning Goal-Directed Behaviour
Learning socially normative robot navigation behaviors with Bayesian inverse reinforcement learning
Model-Based Planning in Discrete Action Spaces
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States
Gene-based treatment of motor neuron diseases
IT Services Reference Catalog
REALM: A rule-based evolutionary computation agent that learns to play Mario
The Interplay between Form, Story, and History : The Use of Narrative in Cultural and Educational Virtual Reality
Intelligent Data Engineering and Automated Learning – IDEAL 2004