Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Weighted importance sampling for off-policy learning with linear function approximation
Off-policy temporal-difference learning with function approximation
The o.d.e. method for convergence of stochastic approximation and reinforcement learning
Learning with Options that Terminate Off-Policy
Effective Multi-step Temporal-Difference Learning for Non-Linear Function Approximation
Regularized offpolicy TD-learning
Continuous-action reinforcement learning with fast policy search and adaptive basis function selection
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
Approximate Policy Iteration with Demonstration Data
Learning from Demonstrations: Is It Worth Estimating a Reward Function?
A Unified Analysis of Value-Function-Based Reinforcement-Learning Algorithms
Advances in Lifted Importance Sampling
Bayesian Nonparametric Inverse Reinforcement Learning for Switched Markov Decision Processes
Accelerated Methods for Deep Reinforcement Learning
Generalized deterministic policy gradient algorithms.
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization
Nonparametric bayesian inverse reinforcement learning for multiple reward functions
Are Deep Policy Gradient Algorithms Truly Policy Gradient Algorithms?
Bayesian Nonparametric Inverse Reinforcement Learning
A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients
Improve efficiency multi-turn magnetic encoder that uses gear system
Combining Fuzzy Logic and Dempster-Shafer Theory
Hierarchical Control and Learning for Markov Decision Processes
Deep Recurrent and Convolutional Networks for Accelerated Fault Tolerant Adaptive Flight Control Under Severe Failures
Multi-resolution terrain rendering with GPU tessellation