policy learning

Learning What To Do by Simulating the Past ICLR 2021 Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning L4DC 2021 Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs AAAI 2021 LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory L4DC 2021 Logarithmic Regret for Reinforcement Learning with Linear Function Approximation ICML 2021 Logistic Q-Learning AISTATS 2021 Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning EMNLP 2021 MetaAugment: Sample-Aware Data Augmentation Policy Learning AAAI 2021 Meta-Reinforcement Learning for Mastering Multiple Skills and Generalizing across Environments in Text-based Games ACL 2021 MobILE: Model-Based Imitation Learning From Observation Alone NeurIPS 2021 Model-Based Episodic Memory Induces Dynamic Hybrid Controls NeurIPS 2021 Multitasking Inhibits Semantic Drift NAACL 2021 Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021 Neuro-Symbolic Approaches for Text-Based Policy Learning EMNLP 2021 Off-Belief Learning ICML 2021 Offline Model-based Adaptable Policy Learning NeurIPS 2021 Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap ICML 2021 Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning ICML 2021 Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation IJCAI 2021 Policy Caches with Successor Features ICML 2021 Policy Learning Using Weak Supervision NeurIPS 2021 ProTo: Program-Guided Transformer for Program-Guided Tasks NeurIPS 2021 Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech Interspeech 2021 Reinforcement learning for optimization of variational quantum circuit architectures NeurIPS 2021 Reinforcement Learning Under Moral Uncertainty ICML 2021