Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Using Advice in Model-Based Reinforcement Learning
Creating Advice-Taking Reinforcement Learners
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
Model-Based Reinforcement Learning via Meta-Policy Optimization
Model-Based Action Exploration
Continuous Deep Q-Learning with Model-based Acceleration
Combining deep reinforcement learning with prior knowledge and reasoning
A Bayesian Framework for Reinforcement Learning
Reinforcement learning model, algorithms and its application
Learning From Explanations Using Sentiment and Advice in RL
Teaching on a Budget: Agents Advising Agents in Reinforcement Learning
Model-Based Reinforcement Learning for Atari
Transferring instances for model-based reinforcement learning
Probabilistic policy reuse in a reinforcement learning agent
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences
Reinforcement learning agents providing advice in complex video games
Safe Model-based Reinforcement Learning with Stability Guarantees
Lipschitz Continuity in Model-based Reinforcement Learning
Rule-based Reinforcement Learning augmented by External Knowledge
Markov Games as a Framework for Multi-Agent Reinforcement Learning
Antiplatelet Agents for the Secondary Prevention of Ischemic Stroke or Transient Ischemic Attack: A Network Meta-Analysis
Predicting Hit Songs with MIDI Musical Features Keven ( Kedao )
The Influence of On-Line Brand Community Characteristics on Community Commitment and Brand Loyalty
ALLMAPS: robust scaffold ordering based on multiple maps