Reinforcement Learning

Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management AAAI 2021 Communication efficient parallel reinforcement learning UAI 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 Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021 Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021 Conflict-Averse Gradient Descent for Multi-task learning NeurIPS 2021 Consecutive Decoding for Speech-to-text Translation AAAI 2021 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NeurIPS 2021 Conservative Offline Distributional Reinforcement Learning NeurIPS 2021 Conservative Safety Critics for Exploration ICLR 2021 Constrained Risk-Averse Markov Decision Processes AAAI 2021 Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent AAAI 2021 Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts UAI 2021 Contingency-aware influence maximization: A reinforcement learning approach UAI 2021 Continual Auxiliary Task Learning NeurIPS 2021 Continual World: A Robotic Benchmark For Continual Reinforcement Learning NeurIPS 2021 Continuous Coordination As a Realistic Scenario for Lifelong Learning ICML 2021 Continuous Doubly Constrained Batch Reinforcement Learning NeurIPS 2021 Continuous-time Model-based Reinforcement Learning ICML 2021 Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions ICLR 2021 Contrastive Reinforcement Learning of Symbolic Reasoning Domains NeurIPS 2021 ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement Learning ACML 2021