policy optimization

Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control ACML 2021 Safe Driving via Expert Guided Policy Optimization CoRL 2021 Safe Policy Optimization with Local Generalized Linear Function Approximations NeurIPS 2021 Safe Reinforcement Learning Using Advantage-Based Intervention ICML 2021 Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021 Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021 Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy ICLR 2021 Specializing Versatile Skill Libraries using Local Mixture of Experts CoRL 2021 Taylor Expansion of Discount Factors ICML 2021 Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks AAAI 2021 The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021 The Importance of Pessimism in Fixed-Dataset Policy Optimization ICLR 2021 UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2 AAAI 2021 Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach AAAI 2021 Understanding the Effect of Stochasticity in Policy Optimization NeurIPS 2021 Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021 Variational Model-based Policy Optimization IJCAI 2021 Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic NeurIPS 2021 Adaptive Smoothing for Path Integral Control JMLR 2020 A distributional view on multi-objective policy optimization ICML 2020 Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization NeurIPS 2020 A Game Theoretic Framework for Model Based Reinforcement Learning ICML 2020 A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change ICML 2020 Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation AAAI 2020 Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020