Deep RL

Mapping State Space using Landmarks for Universal Goal Reaching NeurIPS 2019 Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications ICLR 2019 MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning CoRL 2019 MAVEN: Multi-Agent Variational Exploration NeurIPS 2019 Maximum Entropy Monte-Carlo Planning NeurIPS 2019 MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies NeurIPS 2019 Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning AAAI 2019 Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NeurIPS 2019 Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset CVPR 2019 Meta Learning for Image Captioning AAAI 2019 Meta Reinforcement Learning with Task Embedding and Shared Policy IJCAI 2019 Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control IJCAI 2019 Model-Based Active Exploration ICML 2019 Model-Based Planning with Energy-Based Models CoRL 2019 Model-Based Reinforcement Learning Exploiting State-Action Equivalence ACML 2019 Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019 Model-Free Linear Quadratic Control via Reduction to Expert Prediction AISTATS 2019 Model Learning for Look-Ahead Exploration in Continuous Control AAAI 2019 Monte Carlo Tree Search for Policy Optimization IJCAI 2019 Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks IJCAI 2019 Multi-Task Deep Reinforcement Learning with PopArt AAAI 2019 Multi-View Reinforcement Learning NeurIPS 2019 Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning CoRL 2019 NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning ICLR 2019 Natural Option Critic AAAI 2019