Applications

Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning IJCAI 2020 Sound-Image Grounding Based Focusing Mechanism for Efficient Automatic Spoken Language Acquisition Interspeech 2020 Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces IJCAI 2020 Spatial Action Maps for Mobile Manipulation RSS 2020 Static and Dynamic Values of Computation in MCTS UAI 2020 Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data CVPR 2020 Strategies for Cooperative UAVs Using Model Predictive Control IJCAI 2020 Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling ICML 2020 Structured Policy Iteration for Linear Quadratic Regulator ICML 2020 Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning ICML 2020 Supervised Seeded Iterated Learning for Interactive Language Learning EMNLP 2020 Task-Relevant Adversarial Imitation Learning CoRL 2020 Task Scoping for Efficient Planning in Open Worlds (Student Abstract) AAAI 2020 The Gambler's Problem and Beyond ICLR 2020 The Ingredients of Real World Robotic Reinforcement Learning ICLR 2020 The NetHack Learning Environment NeurIPS 2020 Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning ACML 2020 The Power of Predictions in Online Control NeurIPS 2020 The Value Equivalence Principle for Model-Based Reinforcement Learning NeurIPS 2020 Thinking While Moving: Deep Reinforcement Learning with Concurrent Control ICLR 2020 Tightening Exploration in Upper Confidence Reinforcement Learning ICML 2020 Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes CoRL 2020 Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion CoRL 2020 Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands L4DC 2020 TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search NeurIPS 2020