Skip to content
conftrace_

continuous control

364 papers

Papers

ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search AAAI 2019 A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs ACML 2019 Action Robust Reinforcement Learning and Applications in Continuous Control ICML 2019 Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees ICLR 2019 Autoregressive Policies for Continuous Control Deep Reinforcement Learning IJCAI 2019 Better Exploration with Optimistic Actor Critic NeurIPS 2019 Collaborative Evolutionary Reinforcement Learning ICML 2019 Composing Complex Skills by Learning Transition Policies ICLR 2019 Composing Entropic Policies using Divergence Correction ICML 2019 Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CoRL 2019 Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019 Control Regularization for Reduced Variance Reinforcement Learning ICML 2019 Deep Reactive Policies for Planning in Stochastic Nonlinear Domains AAAI 2019 Diagnosing Bottlenecks in Deep Q-learning Algorithms ICML 2019 Distributional Policy Optimization: An Alternative Approach for Continuous Control NeurIPS 2019 End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks AAAI 2019 Experience Replay Optimization IJCAI 2019 Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator NeurIPS 2019 Imitation-Projected Programmatic Reinforcement Learning NeurIPS 2019 Learning Belief Representations for Imitation Learning in POMDPs UAI 2019 Learning Latent Dynamics for Planning from Pixels ICML 2019 Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning ICLR 2019 Leveraging exploration in off-policy algorithms via normalizing flows CoRL 2019 Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NeurIPS 2019 Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications ICLR 2019