conftrace_

continuous action space

42 papers

Explore in graph

Co-occurring keywords

reinforcement learning (4352) continuous action (21) continuous control (246) policy gradient (520) deep reinforcement learning (903) sample efficiency (472) deep deterministic policy gradient (22) optimal control (218) multi-agent reinforcement learning (538) regret bound (1926)

Papers

Marginal Utility for Planning in Continuous or Large Discrete Action Spaces NIPS 2020
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds AAAI 2020
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients AAAI 2020
Semi-Parametric Efficient Policy Learning with Continuous Actions NIPS 2019
Bayesian Execution Skill Estimation AAAI 2019
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NIPS 2019
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CORL 2019
Off-Policy Evaluation via Off-Policy Classification NIPS 2019
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018
Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling 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 NIPS 2008
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NIPS 2007
Fitted Q-iteration in continuous action-space MDPs NIPS 2007