Applications

Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real CoRL 2019 Learning Navigation Subroutines from Egocentric Videos CoRL 2019 Learning Novel Policies For Tasks ICML 2019 Learning Parametric Constraints in High Dimensions from Demonstrations CoRL 2019 Learning Resource Allocation and Pricing for Cloud Profit Maximization AAAI 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences RSS 2019 Learning Robust Options by Conditional Value at Risk Optimization NeurIPS 2019 Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning ICLR 2019 Learning to Manipulate Object Collections Using Grounded State Representations CoRL 2019 Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight CoRL 2019 Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout NAACL 2019 Learning to Navigate Using Mid-Level Visual Priors CoRL 2019 Learning to Paint With Model-Based Deep Reinforcement Learning ICCV 2019 Learning to Predict Without Looking Ahead: World Models Without Forward Prediction NeurIPS 2019 Learning to Walk Via Deep Reinforcement Learning RSS 2019 Leveraging exploration in off-policy algorithms via normalizing flows CoRL 2019 LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning NeurIPS 2019 Local Koopman Operators for Data-Driven Control of Robotic Systems RSS 2019 Macro-Action-Based Deep Multi-Agent Reinforcement Learning CoRL 2019 MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019 Mapping State Space using Landmarks for Universal Goal Reaching NeurIPS 2019 Maximum Entropy Monte-Carlo Planning NeurIPS 2019 Maximum Entropy-Regularized Multi-Goal Reinforcement Learning ICML 2019 MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies NeurIPS 2019 Measurement Maximizing Adaptive Sampling with Risk Bounding Functions AAAI 2019