Reinforcement Learning

Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020 Constrained Reinforcement Learning via Policy Splitting ACML 2020 Constrained Upper Confidence Reinforcement Learning L4DC 2020 Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning ICML 2020 Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests AAAI 2020 Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting JMLR 2020 Continual Learning of Control Primitives : Skill Discovery via Reset-Games NeurIPS 2020 Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management AAAI 2020 Contrastive Variational Reinforcement Learning for Complex Observations CoRL 2020 Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning ICML 2020 Controlling Contact-Rich Manipulation Under Partial Observability RSS 2020 Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics ICML 2020 Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation ACL 2020 Cooperative Heterogeneous Deep Reinforcement Learning NeurIPS 2020 Cooperative Multi-Agent Bandits with Heavy Tails ICML 2020 Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning AAAI 2020 Corpus-Level End-to-End Exploration for Interactive Systems AAAI 2020 Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020 Count-Based Exploration with the Successor Representation AAAI 2020 Counterfactual Data Augmentation using Locally Factored Dynamics NeurIPS 2020 Critic Regularized Regression NeurIPS 2020 Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach AAAI 2020 Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation IJCAI 2020 Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality NeurIPS 2020 CURL: Contrastive Unsupervised Representations for Reinforcement Learning ICML 2020