Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Policy Gradient Methods for Reinforcement Learning with Function Approximation
Reinforcement learning for control: Performance, stability, and deep approximators
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient
Deep Reinforcement Learning
How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies
Residual Algorithms: Reinforcement Learning with Function Approximation
Algorithms and Representations for Reinforcement Learning
Real-time reinforcement learning by sequential Actor-Critics and experience replay
Maximum Entropy Deep Inverse Reinforcement Learning
Deep Reinforcement Learning: An Overview
Cross-Entropy Method for Reinforcement Learning
Soft Actor-Critic Algorithms and Applications
Truncating Temporal Differences: On the Efficient Implementation of TD(lambda) for Reinforcement Learning
Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks
Asynchronous Methods for Deep Reinforcement Learning
Shallow Updates for Deep Reinforcement Learning
bayesian policy gradient and actor - critic algorithms .
Bayesian actor-critic algorithms
Reinforcement Learning with Long Short-Term Memory
a common variant of the latrophilin 3 gene , lphn3 , confers susceptibility to adhd and predicts effectiveness of stimulant medication .
Towards Building Robust Natural Language Interfaces to Databases
Simulation-Based Optimization of Markov Reward Processes
Dynamic Resource Provisioning for Energy Efficiency in Wireless Access Networks: A Survey and an Outlook
Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches