Methods

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations NeurIPS 2017 Interactive Narrative Personalization with Deep Reinforcement Learning IJCAI 2017 Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning NeurIPS 2017 Is the Bellman residual a bad proxy? NeurIPS 2017 Latent Intention Dialogue Models ICML 2017 Learning Combinatorial Optimization Algorithms over Graphs NeurIPS 2017 Learning Constrained Generalizable Policies by Demonstration RSS 2017 Learning Conversational Systems that Interleave Task and Non-Task Content IJCAI 2017 Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation CoRL 2017 Learning how to Active Learn: A Deep Reinforcement Learning Approach EMNLP 2017 Learning in POMDPs with Monte Carlo Tree Search ICML 2017 Learning Nash Equilibrium for General-Sum Markov Games from Batch Data AISTATS 2017 Learning Partial Policies to Speedup MDP Tree Search via Reduction to I.I.D. Learning JMLR 2017 Learning Robot Objectives from Physical Human Interaction CoRL 2017 Learning Sparse Representations in Reinforcement Learning with Sparse Coding IJCAI 2017 Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning IJCNLP 2017 Learning to Learn From Noisy Web Videos CVPR 2017 Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NeurIPS 2017 Learning what to read: Focused machine reading EMNLP 2017 Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects IJCAI 2017 Mapping Instructions and Visual Observations to Actions with Reinforcement Learning EMNLP 2017 Model-Independent Online Learning for Influence Maximization ICML 2017 Modular Multitask Reinforcement Learning with Policy Sketches ICML 2017 Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments NeurIPS 2017 Multi-Agent Planning with Baseline Regret Minimization IJCAI 2017