policy improvement

Offline RL Without Off-Policy Evaluation NeurIPS 2021 Risk-Aware Transfer in Reinforcement Learning using Successor Features NeurIPS 2021 The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021 Weighted model estimation for offline model-based reinforcement learning NeurIPS 2021 Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues AAAI 2020 Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020 Improving Policies via Search in Cooperative Partially Observable Games AAAI 2020 Policy Search by Target Distribution Learning for Continuous Control AAAI 2020 The Choice Function Framework for Online Policy Improvement AAAI 2020 The EMPATHIC Framework for Task Learning from Implicit Human Feedback CoRL 2020 Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations IJCAI 2019 Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments IJCAI 2019 Safe Policy Improvement with Baseline Bootstrapping in Factored Environments AAAI 2019 Beyond the One-Step Greedy Approach in Reinforcement Learning ICML 2018 Exponentially Weighted Imitation Learning for Batched Historical Data NeurIPS 2018 Improving Multi-Robot Behavior Using Learning-Based Receding Horizon Task Allocation RSS 2018 Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NeurIPS 2018 Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement ICML 2018 Multi-Agent Planning with Baseline Regret Minimization IJCAI 2017 Successor Features for Transfer in Reinforcement Learning NeurIPS 2017 A Fast and Reliable Policy Improvement Algorithm AISTATS 2016 Hierarchical Decision Making In Electricity Grid Management ICML 2016 High Confidence Policy Improvement ICML 2015 Safe Policy Iteration ICML 2013 A Generalized Path Integral Control Approach to Reinforcement Learning JMLR 2010