Policy Learning

Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies NeurIPS 2018 Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents NeurIPS 2018 Improving Reinforcement Learning Based Image Captioning with Natural Language Prior EMNLP 2018 Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction ICLR 2018 Joint Modeling for Query Expansion and Information Extraction with Reinforcement Learning EMNLP 2018 Jumper: Learning When to Make Classification Decision in Reading IJCAI 2018 Learning Abstract Options NeurIPS 2018 Learning Beam Search Policies via Imitation Learning NeurIPS 2018 Learning Environmental Calibration Actions for Policy Self-Evolution IJCAI 2018 Learning Robust Rewards with Adverserial Inverse Reinforcement Learning ICLR 2018 Learning Safe Policies with Expert Guidance NeurIPS 2018 Learning Temporal Point Processes via Reinforcement Learning NeurIPS 2018 Learning to Act in Decentralized Partially Observable MDPs ICML 2018 Learning to Explore via Meta-Policy Gradient ICML 2018 Learning to Infer Final Plans in Human Team Planning IJCAI 2018 Learning to Multi-Task by Active Sampling ICLR 2018 Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning ICLR 2018 Lifelong Inverse Reinforcement Learning NeurIPS 2018 Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation EMNLP 2018 Markov Decision Processes with Continuous Side Information ALT 2018 Maximum a Posteriori Policy Optimisation ICLR 2018 Maximum Causal Tsallis Entropy Imitation Learning NeurIPS 2018 Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing NeurIPS 2018 Mix & Match Agent Curricula for Reinforcement Learning ICML 2018 Model-Free Trajectory-based Policy Optimization with Monotonic Improvement JMLR 2018