Policy Learning

End-To-End Robotic Reinforcement Learning without Reward Engineering RSS 2019 Environment Probing Interaction Policies ICLR 2019 Epsilon-Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits NeurIPS 2019 Experience Replay Optimization IJCAI 2019 Explicitly Coordinated Policy Iteration IJCAI 2019 Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains IJCAI 2019 Exploration Conscious Reinforcement Learning Revisited ICML 2019 Exploration via Hindsight Goal Generation NeurIPS 2019 Fast Efficient Hyperparameter Tuning for Policy Gradient Methods NeurIPS 2019 Fingerprint Policy Optimisation for Robust Reinforcement Learning ICML 2019 Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator NeurIPS 2019 Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning NeurIPS 2019 Generalized Off-Policy Actor-Critic NeurIPS 2019 Generating Classical Chinese Poems from Vernacular Chinese EMNLP 2019 Generation of Policy-Level Explanations for Reinforcement Learning AAAI 2019 Goal-conditioned Imitation Learning NeurIPS 2019 Goal-Oriented Dialogue Policy Learning from Failures AAAI 2019 Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog EMNLP 2019 Hessian Aided Policy Gradient ICML 2019 Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization ICLR 2019 Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards NeurIPS 2019 Hierarchical Text Classification with Reinforced Label Assignment EMNLP 2019 Hindsight policy gradients ICLR 2019 Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning EMNLP 2019 Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space IJCAI 2019