reinforcement learning

Learning to Embed Sentences Using Attentive Recursive Trees AAAI 2019 Learning to Generalize from Sparse and Underspecified Rewards ICML 2019 Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning CVPR 2019 Learning to Manipulate Object Collections Using Grounded State Representations CoRL 2019 Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight CoRL 2019 Learning to Navigate the Web ICLR 2019 Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout NAACL 2019 Learning to Navigate Using Mid-Level Visual Priors CoRL 2019 Learning to Perform Local Rewriting for Combinatorial Optimization NeurIPS 2019 Learning to Predict Without Looking Ahead: World Models Without Forward Prediction NeurIPS 2019 Learning to request guidance in emergent language EMNLP 2019 Learning To Simulate ICLR 2019 Learning Transferable Graph Exploration NeurIPS 2019 Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering NAACL 2019 Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks ICLR 2019 Leveraging exploration in off-policy algorithms via normalizing flows CoRL 2019 Leveraging Human Guidance for Deep Reinforcement Learning Tasks IJCAI 2019 LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification EMNLP 2019 Long Short-Term Memory with Dynamic Skip Connections AAAI 2019 Look Harder: A Neural Machine Translation Model with Hard Attention ACL 2019 LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning IJCAI 2019 Machine Translation for Machines: the Sentiment Classification Use Case EMNLP 2019 MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019 Mapping State Space using Landmarks for Universal Goal Reaching NeurIPS 2019 MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies NeurIPS 2019