Applications

Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks CVPR 2019 Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup RSS 2019 SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning ICML 2019 Solving Partially Observable Stochastic Games with Public Observations AAAI 2019 Speech Driven Backchannel Generation Using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction Interspeech 2019 SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation ICCV 2019 State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019 Strategic Tasks for Explainable Reinforcement Learning AAAI 2019 Structured agents for physical construction ICML 2019 Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search IJCAI 2019 Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs AAAI 2019 Successor Options: An Option Discovery Framework for Reinforcement Learning IJCAI 2019 Surveys without Questions: A Reinforcement Learning Approach AAAI 2019 Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods AAAI 2019 Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments CoRL 2019 Teaching Robots to Interact with Humans in a Smart Environment IJCAI 2019 Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning NeurIPS 2019 The Expected-Length Model of Options IJCAI 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019 The Option Keyboard: Combining Skills in Reinforcement Learning NeurIPS 2019 Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning AISTATS 2019 The Value Function Polytope in Reinforcement Learning ICML 2019 Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller NeurIPS 2019 Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies NeurIPS 2019 To Follow or not to Follow: Selective Imitation Learning from Observations CoRL 2019