Agent Systems

Learning Agent Representations for Ice Hockey NeurIPS 2020 Learning and Solving Regular Decision Processes IJCAI 2020 Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty L4DC 2020 Learning Behaviors with Uncertain Human Feedback UAI 2020 Learning Calibratable Policies using Programmatic Style-Consistency ICML 2020 Learning Dynamic Belief Graphs to Generalize on Text-Based Games NeurIPS 2020 Learning Efficient Dialogue Policy from Demonstrations through Shaping ACL 2020 Learning Efficient Multi-agent Communication: An Information Bottleneck Approach ICML 2020 Learning Goal-oriented Dialogue Policy with opposite Agent Awareness AACL 2020 Learning Human Objectives by Evaluating Hypothetical Behavior ICML 2020 Learning Labeled Robot Affordance Models Using Simulations and Crowdsourcing RSS 2020 Learning Latent Representations to Influence Multi-Agent Interaction CoRL 2020 Learning Navigation Costs from Demonstrations with Semantic Observations L4DC 2020 Learning the Arrow of Time for Problems in Reinforcement Learning ICLR 2020 Learning to Ask Medical Questions using Reinforcement Learning MLHC 2020 Learning to Incentivize Other Learning Agents NeurIPS 2020 Learning to Interactively Learn and Assist AAAI 2020 Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning ICML 2020 Learning to Simulate Dynamic Environments With GameGAN CVPR 2020 Learning Vision-based Reactive Policies for Obstacle Avoidance CoRL 2020 Lifelong Learning with a Changing Action Set AAAI 2020 Lookahead-Bounded Q-learning ICML 2020 LTLƒ Synthesis with Fairness and Stability Assumptions AAAI 2020 Making Efficient Use of Demonstrations to Solve Hard Exploration Problems ICLR 2020 Manipulation with Shared Grasping RSS 2020