Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Tetris-: Exploring Human Performance via Cross Entropy Reinforcement Learning Models.
improvements on learning tetris with cross entropy .
Reinforcement Learning for Humanoid Robotics
Playing Atari with Deep Reinforcement Learning
Divide and Conquer: Hierarchical Reinforcement Learning and Task Decomposition in Humans
Opponent Modelling in the Game of Tron using Reinforcement Learning
Cross-Entropy Method for Reinforcement Learning
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Deep Reinforcement Learning in Pac-man
Deep Reinforcement Learning for 2048
Model-based hierarchical reinforcement learning and human action control
Deep Reinforcement Learning
Visualizing and Understanding Atari Agents
Deep Reinforcement Learning from Policy-Dependent Human Feedback
On Monte Carlo Tree Search and Reinforcement Learning
State of the Art Control of Atari Games Using Shallow Reinforcement Learning
Model-based Q-learning for humanoid robots
Accelerating Human Learning with Deep Reinforcement Learning
Learning Exploration Strategies in Model-Based Reinforcement Learning
Human learning in Atari
Visual Transfer between Atari Games using Competitive Reinforcement Learning
Matching pursuits with time-frequency dictionaries
Neuroimaging of stroke recovery from aphasia – Insights into plasticity of the human language network
A Broadband Planar Magic-T Using Microstrip–Slotline Transitions
Multi-agent motion planning and coordination in polygonal environments using vector fields and model predictive control
Completely Derandomized Self-Adaptation in Evolution Strategies