Deep RL

Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019 Convergent Policy Optimization for Safe Reinforcement Learning NeurIPS 2019 Correlation Priors for Reinforcement Learning NeurIPS 2019 Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations ICCV 2019 Co-training for Policy Learning UAI 2019 Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks IJCAI 2019 Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses EMNLP 2019 Credit Assignment Techniques in Stochastic Computation Graphs AISTATS 2019 Cross-View Policy Learning for Street Navigation ICCV 2019 CRSRL: Customer Routing System Using Reinforcement Learning IJCAI 2019 Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty ICML 2019 Curious iLQR: Resolving Uncertainty in Model-based RL CoRL 2019 CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning ICML 2019 Curriculum-guided Hindsight Experience Replay NeurIPS 2019 Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning CoRL 2019 Data Efficient Reinforcement Learning for Legged Robots CoRL 2019 Dead-ends and Secure Exploration in Reinforcement Learning ICML 2019 Deep Exploration via Randomized Value Functions JMLR 2019 DeepMDP: Learning Continuous Latent Space Models for Representation Learning ICML 2019 DeepMellow: Removing the Need for a Target Network in Deep Q-Learning IJCAI 2019 Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces IJCAI 2019 Deep Reactive Policies for Planning in Stochastic Nonlinear Domains AAAI 2019 Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification ICCV 2019 Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference EMNLP 2019 Deep Reinforcement Learning for Green Security Games with Real-Time Information AAAI 2019