Reinforcement Learning

Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition CVPR 2018 Deep Reinforcement Learning for Chinese Zero Pronoun Resolution ACL 2018 Deep Reinforcement Learning for NLP ACL 2018 Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NeurIPS 2018 Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling ICML 2018 Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation IJCAI 2018 Deep Reinforcement Learning of Region Proposal Networks for Object Detection CVPR 2018 Deep Variational Reinforcement Learning for POMDPs ICML 2018 Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems NAACL 2018 DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018 Differentiable MPC for End-to-end Planning and Control NeurIPS 2018 Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning ICML 2018 Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning EMNLP 2018 Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning COLING 2018 Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning CVPR 2018 Distributed Distributional Deterministic Policy Gradients ICLR 2018 Distributed Multitask Reinforcement Learning with Quadratic Convergence NeurIPS 2018 Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NeurIPS 2018 Divide-and-Conquer Reinforcement Learning ICLR 2018 Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment CoRL 2018 DORA The Explorer: Directed Outreaching Reinforcement Action-Selection ICLR 2018 Dual Policy Iteration NeurIPS 2018 Dyadic collaborative Manipulation through Hybrid Trajectory Optimization CoRL 2018 Dynamic Resource Routing using Real-Time Dynamic Programming IJCAI 2018 Dynamic Zoom-In Network for Fast Object Detection in Large Images CVPR 2018