Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Modulated Policy Hierarchies
Latent Space Policies for Hierarchical Reinforcement Learning
Scalable Multitask Policy Gradient Reinforcement Learning.
Policy Optimization with Model-based Explorations
A Bayesian Approach for Policy Learning from Trajectory Preference Queries
Generalized deterministic policy gradient algorithms.
Gradient-free Policy Architecture Search and Adaptation
Model-Based Policy Gradients with Parameter-Based Exploration by Least-Squares Conditional Density Estimation
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space
Self-Modification of Policy and Utility Function in Rational Agents
Hierarchical Learning in Stochastic Domains: Preliminary Results
A Deep Policy Inference Q-Network for Multi-Agent Systems
Imitating Latent Policies from Observation
Actor-critic versus direct policy search: a comparison based on sample complexity
Learning by imitation: a hierarchical approach.
Variational Inference for Policy Search in changing situations
Experiments with hierarchical reinforcement learning of multiple grasping policies
Hierarchical Solution of Markov Decision Processes using Macro-actions
Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
CEM-RL: Combining evolutionary and gradient-based methods for policy search
Near-optimal regret bounds for reinforcement learning
Compositional pattern producing networks: A novel abstraction of development
Hemodynamic parameters to guide fluid therapy
An Online Identity and Smart Contract Management System
PSRR improvement technique for amplifiers with Miller capacitor