value function

Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control ICML 2016 Deep Exploration via Bootstrapped DQN NeurIPS 2016 Doubly Robust Off-policy Value Evaluation for Reinforcement Learning ICML 2016 Improving PAC Exploration Using the Median Of Means NeurIPS 2016 Practical Kernel-Based Reinforcement Learning JMLR 2016 True Online Temporal-Difference Learning JMLR 2016 A Deeper Look at Planning as Learning from Replay ICML 2015 Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition RSS 2015 Learning Continuous Control Policies by Stochastic Value Gradients NeurIPS 2015 RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research JMLR 2015 Universal Value Function Approximators ICML 2015 Universal Option Models NeurIPS 2014 Weighted importance sampling for off-policy learning with linear function approximation NeurIPS 2014 Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NeurIPS 2013 Efficient Exploration and Value Function Generalization in Deterministic Systems NeurIPS 2013 Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result NeurIPS 2013 Finite-Sample Analysis of Least-Squares Policy Iteration JMLR 2012 On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NeurIPS 2012 Regularized Off-Policy TD-Learning NeurIPS 2012 Value Pursuit Iteration NeurIPS 2012 Action-Gap Phenomenon in Reinforcement Learning NeurIPS 2011 Active Classification based on Value of Classifier NeurIPS 2011 A reinterpretation of the policy oscillation phenomenon in approximate policy iteration NeurIPS 2011 Generalized TD Learning JMLR 2011 Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts RSS 2011