Methods

Reward learning from human preferences and demonstrations in Atari NeurIPS 2018 Risk-Aware Active Inverse Reinforcement Learning CoRL 2018 Risk-Constrained Reinforcement Learning with Percentile Risk Criteria JMLR 2018 RLlib: Abstractions for Distributed Reinforcement Learning ICML 2018 Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning ACL 2018 Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NeurIPS 2018 SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation ICML 2018 Scalable Bilinear Pi Learning Using State and Action Features ICML 2018 Scalable Coordinated Exploration in Concurrent Reinforcement Learning NeurIPS 2018 Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation CoRL 2018 Scalable Initial State Interdiction for Factored MDPs IJCAI 2018 Scalar Posterior Sampling with Applications NeurIPS 2018 Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents IJCAI 2018 SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation CVPR 2018 Self-Adaptive Double Bootstrapped DDPG IJCAI 2018 Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings ICML 2018 Self-Imitation Learning ICML 2018 Shared Autonomy via Deep Reinforcement Learning RSS 2018 Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control CVPR 2018 Simple random search of static linear policies is competitive for reinforcement learning NeurIPS 2018 Simplifying Reward Design through Divide-and-Conquer RSS 2018 Sim-to-Real: Learning Agile Locomotion For Quadruped Robots RSS 2018 Sim-to-Real Reinforcement Learning for Deformable Object Manipulation CoRL 2018 Sim-to-Real Transfer with Neural-Augmented Robot Simulation CoRL 2018 SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation CVPR 2018