Reinforcement Learning

Learning a Reinforced Agent for Flexible Exposure Bracketing Selection CVPR 2020 Learning Behaviors with Uncertain Human Feedback UAI 2020 Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning EMNLP 2020 Learning Efficient Dialogue Policy from Demonstrations through Shaping ACL 2020 Learning Expensive Coordination: An Event-Based Deep RL Approach ICLR 2020 Learning from Interventions Using Hierarchical Policies for Safe Learning AAAI 2020 Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020 Learning Nearly Decomposable Value Functions Via Communication Minimization ICLR 2020 Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling ICLR 2020 Learning the Linear Quadratic Regulator from Nonlinear Observations NeurIPS 2020 Learning to Follow Directions in Street View AAAI 2020 Learning to Move with Affordance Maps ICLR 2020 Lifelong Learning with a Changing Action Set AAAI 2020 Logic and the 2-Simplicial Transformer ICLR 2020 Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020 MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control AAAI 2020 Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations AAAI 2020 Modular Robot Design Synthesis with Deep Reinforcement Learning AAAI 2020 Multi-agent Reinforcement Learning for Networked System Control ICLR 2020 Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract) AAAI 2020 Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning ACL 2020 Observational Overfitting in Reinforcement Learning ICLR 2020 Off-Policy Evaluation in Partially Observable Environments AAAI 2020 Online Decision Based Visual Tracking via Reinforcement Learning NeurIPS 2020 On the Role of Weight Sharing During Deep Option Learning AAAI 2020