Reinforcement Learning

Near-optimal Regret Bounds for Stochastic Shortest Path ICML 2020 Near-Optimal Reinforcement Learning with Self-Play NeurIPS 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning AAAI 2020 Nested-Wasserstein Self-Imitation Learning for Sequence Generation AISTATS 2020 Neural Approximate Dynamic Programming for On-Demand Ride-Pooling AAAI 2020 Neural Contextual Bandits with UCB-based Exploration ICML 2020 Neural Dynamic Policies for End-to-End Sensorimotor Learning NeurIPS 2020 Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation EMNLP 2020 Neurosymbolic Reinforcement Learning with Formally Verified Exploration NeurIPS 2020 Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning CoRL 2020 Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning ACL 2020 Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning IJCAI 2020 Non-Crossing Quantile Regression for Distributional Reinforcement Learning NeurIPS 2020 Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions RSS 2020 No-regret Exploration in Contextual Reinforcement Learning UAI 2020 No-Regret Exploration in Goal-Oriented Reinforcement Learning ICML 2020 No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium NeurIPS 2020 Novelty Search in Representational Space for Sample Efficient Exploration NeurIPS 2020 Object Goal Navigation using Goal-Oriented Semantic Exploration NeurIPS 2020 Objective Mismatch in Model-based Reinforcement Learning L4DC 2020 Object-Oriented Dynamics Learning through Multi-Level Abstraction AAAI 2020 Offline Imitation Learning with a Misspecified Simulator NeurIPS 2020 Off-Policy Actor-Critic with Shared Experience Replay ICML 2020 Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NeurIPS 2020 Off-Policy Evaluation in Partially Observable Environments AAAI 2020