Agent Systems

ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments EMNLP 2020 Ask to Learn: A Study on Curiosity-driven Question Generation COLING 2020 A social robot mediator to foster collaboration and inclusion among children RSS 2020 A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020 Asynchronous Coagent Networks ICML 2020 Asynchronous Deep Model Reference Adaptive Control CoRL 2020 AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control NeurIPS 2020 Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation NeurIPS 2020 A User’s Guide to Calibrating Robotic Simulators CoRL 2020 BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps ACL 2020 Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability CoRL 2020 Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization AAAI 2020 Boolean Games: Inferring Agents' Goals Using Taxation Queries IJCAI 2020 Can I teach a robot to replicate a line art WACV 2020 CAQL: Continuous Action Q-Learning ICLR 2020 Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings ICML 2020 Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation ICLR 2020 ChartDialogs: Plotting from Natural Language Instructions ACL 2020 CLOUD: Contrastive Learning of Unsupervised Dynamics CoRL 2020 Combating False Negatives in Adversarial Imitation Learning (Student Abstract) AAAI 2020 Combining Direct Trust and Indirect Trust in Multi-Agent Systems IJCAI 2020 Composing Task-Agnostic Policies with Deep Reinforcement Learning ICLR 2020 Consequences of Misaligned AI NeurIPS 2020 Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020 Contextual Constrained Learning for Dose-Finding Clinical Trials AISTATS 2020