robotic control

Imitation Learning by Estimating Expertise of Demonstrators ICML 2022 Offline Reinforcement Learning at Multiple Frequencies CoRL 2022 Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning ICML 2022 Truly Deterministic Policy Optimization NeurIPS 2022 Continuous then discrete: A recommendation for building robotic brains CoRL 2021 Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic ACML 2021 Smooth Exploration for Robotic Reinforcement Learning CoRL 2021 Strength Through Diversity: Robust Behavior Learning via Mixture Policies CoRL 2021 Unsupervised Learning of Visual 3D Keypoints for Control ICML 2021 MELD: Meta-Reinforcement Learning from Images via Latent State Models CoRL 2020 Variational Recurrent Models for Solving Partially Observable Control Tasks ICLR 2020 Policy Transfer with Strategy Optimization ICLR 2019 Data-Efficient Hierarchical Reinforcement Learning NeurIPS 2018 PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments CoRL 2018 Continuous Deep Q-Learning with Model-based Acceleration ICML 2016 Modelling motion primitives and their timing in biologically executed movements NeurIPS 2007