policy optimization

Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020 Robust Reinforcement Learning for Continuous Control with Model Misspecification ICLR 2020 Safe Reinforcement Learning in Constrained Markov Decision Processes ICML 2020 Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation ACL 2020 Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning AAAI 2020 Taylor Expansion Policy Optimization ICML 2020 The Differentiable Cross-Entropy Method ICML 2020 Trust the Model When It Is Confident: Masked Model-based Actor-Critic NeurIPS 2020 V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control ICLR 2020 Action Robust Reinforcement Learning and Applications in Continuous Control ICML 2019 Active Exploration in Markov Decision Processes AISTATS 2019 A Divergence Minimization Perspective on Imitation Learning Methods CoRL 2019 Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services AAAI 2019 A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NeurIPS 2019 A Theory of Regularized Markov Decision Processes ICML 2019 Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent IJCAI 2019 Constrained Reinforcement Learning Has Zero Duality Gap NeurIPS 2019 Contextual bandits with continuous actions: Smoothing, zooming, and adapting COLT 2019 Convergent Policy Optimization for Safe Reinforcement Learning NeurIPS 2019 CRSRL: Customer Routing System Using Reinforcement Learning IJCAI 2019 DAC: The Double Actor-Critic Architecture for Learning Options NeurIPS 2019 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems AISTATS 2019 Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning ICML 2019 Divergence-Augmented Policy Optimization NeurIPS 2019