Applications

Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning CoRL 2021 Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021 Certification of iterative predictions in Bayesian neural networks UAI 2021 ChainerRL: A Deep Reinforcement Learning Library JMLR 2021 C-Learning: Horizon-Aware Cumulative Accessibility Estimation ICLR 2021 Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021 Combining Reinforcement Learning and Causal Models for Robotics Applications IJCAI 2021 Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu IJCAI 2021 Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management AAAI 2021 Competitive policy optimization UAI 2021 Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning RSS 2021 Compositional Reinforcement Learning from Logical Specifications NeurIPS 2021 Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality NeurIPS 2021 Consecutive Decoding for Speech-to-text Translation AAAI 2021 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NeurIPS 2021 Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent AAAI 2021 Continual World: A Robotic Benchmark For Continual Reinforcement Learning NeurIPS 2021 Continuous-time Model-based Reinforcement Learning ICML 2021 ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement Learning ACML 2021 Convex Regularization in Monte-Carlo Tree Search ICML 2021 Coupling Intent and Action for Pedestrian Crossing Behavior Prediction IJCAI 2021 Cross-domain Imitation from Observations ICML 2021 Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning NeurIPS 2021 Curious Representation Learning for Embodied Intelligence ICCV 2021 Curriculum Learning for Vision-and-Language Navigation NeurIPS 2021