value function

Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot L4DC 2020 Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020 Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020 Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing NeurIPS 2020 Reward Prediction Error as an Exploration Objective in Deep RL IJCAI 2020 Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NeurIPS 2020 SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020 The Gambler's Problem and Beyond ICLR 2020 Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020 Value-driven Hindsight Modelling NeurIPS 2020 Value Preserving State-Action Abstractions AISTATS 2020 A Kernel Loss for Solving the Bellman Equation NeurIPS 2019 A neurally plausible model learns successor representations in partially observable environments NeurIPS 2019 Compact Representation of Value Function in Partially Observable Stochastic Games IJCAI 2019 Credit Assignment Techniques in Stochastic Computation Graphs AISTATS 2019 Dead-ends and Secure Exploration in Reinforcement Learning ICML 2019 Deep Value Model Predictive Control CoRL 2019 Distributional reinforcement learning with linear function approximation AISTATS 2019 Distributional Reward Decomposition for Reinforcement Learning NeurIPS 2019 DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NeurIPS 2019 Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests UAI 2019 Frontier Search and Plan Reconstruction in Oversubscription Planning AAAI 2019 Generation of Policy-Level Explanations for Reinforcement Learning AAAI 2019 Hill Climbing on Value Estimates for Search-control in Dyna IJCAI 2019 Hindsight Credit Assignment NeurIPS 2019