continuous control

Learning the Linear Quadratic Regulator from Nonlinear Observations NeurIPS 2020 Learning to Guide Random Search ICLR 2020 Model-based Policy Optimization with Unsupervised Model Adaptation NeurIPS 2020 Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach IJCAI 2020 Online Meta-Critic Learning for Off-Policy Actor-Critic Methods NeurIPS 2020 Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL IJCAI 2020 Option Discovery using Deep Skill Chaining ICLR 2020 PLAS: Latent Action Space for Offline Reinforcement Learning CoRL 2020 Policy Search by Target Distribution Learning for Continuous Control AAAI 2020 Ready Policy One: World Building Through Active Learning ICML 2020 Reinforcement Learning for Control with Multiple Frequencies NeurIPS 2020 Residual Policy Learning for Shared Autonomy RSS 2020 Robust Reinforcement Learning for Continuous Control with Model Misspecification ICLR 2020 Robust Reinforcement Learning with Bayesian Optimisation and Quadrature JMLR 2020 Safe Policy Learning for Continuous Control CoRL 2020 Softmax Deep Double Deterministic Policy Gradients NeurIPS 2020 Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model NeurIPS 2020 Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling ICML 2020 The Differentiable Cross-Entropy Method ICML 2020 Thinking While Moving: Deep Reinforcement Learning with Concurrent Control ICLR 2020 Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control ICLR 2020 Trust the Model When It Is Confident: Masked Model-based Actor-Critic NeurIPS 2020 Variational Imitation Learning with Diverse-quality Demonstrations ICML 2020 V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control ICLR 2020 Weakly-Supervised Reinforcement Learning for Controllable Behavior NeurIPS 2020