continuous action space

Inferring DQN structure for high-dimensional continuous control ICML 2020 Marginal Utility for Planning in Continuous or Large Discrete Action Spaces NeurIPS 2020 Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients AAAI 2020 Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds AAAI 2020 Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method NeurIPS 2020 Bayesian Execution Skill Estimation AAAI 2019 Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CoRL 2019 Learning Multi-Level Hierarchies with Hindsight ICLR 2019 Off-Policy Evaluation via Off-Policy Classification NeurIPS 2019 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019 Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019 Semi-Parametric Efficient Policy Learning with Continuous Actions NeurIPS 2019 Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling ICML 2018 Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018 Computing Bayes-Nash Equilibria in Combinatorial Auctions with Continuous Value and Action Spaces IJCAI 2017 Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation ACML 2015 Lipschitz Bandits: Regret Lower Bound and Optimal Algorithms COLT 2014 Fitted Q-iteration by Advantage Weighted Regression NeurIPS 2008 Fitted Q-iteration in continuous action-space MDPs NeurIPS 2007 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007