Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Learning modular neural network policies for multi-task and multi-robot transfer
Online Multi-Task Learning for Policy Gradient Methods
Multimodal integration learning of robot behavior using deep neural networks
An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems
Reinforcement learning for robots using neural networks
Multi-task policy search for robotics
M ULTI-TASK LEARNING WITH DEEP MODEL BASED REINFORCEMENT LEARNING
Towards Knowledge Transfer in Deep Reinforcement Learning
A Deep Policy Inference Q-Network for Multi-Agent Systems
Cooperative Multi-Agent Learning: The State of the Art
Global policy construction in modular reinforcement learning
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
Bayesian Multi-Task Reinforcement Learning
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search
Multisource Transfer Double DQN Based on Actor Learning
Coordinating multi-agent reinforcement learning with limited communication
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
Robot gains social intelligence through multimodal deep reinforcement learning
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient
Camera angle affects dominance in video-mediated communication
Deep Representation Learning for Domain Adaptation of Semantic Image Segmentation
Induced moderate hypothermia after cardiac arrest.
Comparison of fundamental frequency and PWM methods applied on a hybrid cascaded multilevel inverter
Autonomous transfer for reinforcement learning