reinforcement learning

Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation ICML 2019 Transfer of Temporal Logic Formulas in Reinforcement Learning IJCAI 2019 Transferring Knowledge across Learning Processes ICLR 2019 Trust Region Evolution Strategies AAAI 2019 Trust Region-Guided Proximal Policy Optimization NeurIPS 2019 Understanding the Impact of Entropy on Policy Optimization ICML 2019 Unified Policy Optimization for Robust Reinforcement Learning ACML 2019 Universal Successor Features Approximators ICLR 2019 Unsupervised Basis Function Adaptation for Reinforcement Learning JMLR 2019 Unsupervised Context Rewriting for Open Domain Conversation EMNLP 2019 Unsupervised Controllable Text Formalization AAAI 2019 Unsupervised Curricula for Visual Meta-Reinforcement Learning NeurIPS 2019 Unsupervised Dialog Structure Learning NAACL 2019 Unsupervised Learning of Object Keypoints for Perception and Control NeurIPS 2019 Unsupervised Neural Machine Translation with Future Rewarding CoNLL 2019 Unsupervised Visuomotor Control through Distributional Planning Networks RSS 2019 Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning NeurIPS 2019 Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation ACL 2019 Value Propagation Networks ICLR 2019 Variance Reduced Policy Evaluation with Smooth Function Approximation NeurIPS 2019 Variance Reduction for Reinforcement Learning in Input-Driven Environments ICLR 2019 Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019 Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CoRL 2019 Variational Regret Bounds for Reinforcement Learning UAI 2019 Verifiable and Interpretable Reinforcement Learning through Program Synthesis AAAI 2019