continuous control

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies NeurIPS 2019 Model Learning for Look-Ahead Exploration in Continuous Control AAAI 2019 Multi-Agent Reinforcement Learning with Multi-Step Generative Models CoRL 2019 NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning ICLR 2019 Near-Optimal Representation Learning for Hierarchical Reinforcement Learning ICLR 2019 Off-Policy Deep Reinforcement Learning without Exploration ICML 2019 On-Policy Robot Imitation Learning from a Converging Supervisor CoRL 2019 Policy Consolidation for Continual Reinforcement Learning ICML 2019 Probabilistic Planning with Sequential Monte Carlo methods ICLR 2019 Quasi-Newton Trust Region Policy Optimization CoRL 2019 Real-Time Reinforcement Learning NeurIPS 2019 Regularizing Model-Based Planning with Energy-Based Models CoRL 2019 ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots CoRL 2019 Sample Efficient Imitation Learning for Continuous Control ICLR 2019 Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction NeurIPS 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019 Trajectory-Based Off-Policy Deep Reinforcement Learning ICML 2019 Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CoRL 2019 Bayesian RL for Goal-Only Rewards CoRL 2018 Benchmarking Reinforcement Learning Algorithms on Real-World Robots CoRL 2018 Clipped Action Policy Gradient ICML 2018 Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling ICML 2018 Distributed Distributional Deterministic Policy Gradients ICLR 2018 Divide-and-Conquer Reinforcement Learning ICLR 2018 Dual Policy Iteration NeurIPS 2018