Value Iteration

Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting NeurIPS 2020 Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing NeurIPS 2020 Reinforcement Learning with Dynamic Boltzmann Softmax Updates IJCAI 2020 Reinforcement Learning with Feedback Graphs NeurIPS 2020 Reward-Free Exploration for Reinforcement Learning ICML 2020 Sample-efficient Cross-Entropy Method for Real-time Planning CoRL 2020 Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces IJCAI 2020 Structured Policy Iteration for Linear Quadratic Regulator ICML 2020 Task Scoping for Efficient Planning in Open Worlds (Student Abstract) AAAI 2020 The Gambler's Problem and Beyond ICLR 2020 The Value Equivalence Principle for Model-Based Reinforcement Learning NeurIPS 2020 Tightening Exploration in Upper Confidence Reinforcement Learning ICML 2020 Transfer Value Iteration Networks AAAI 2020 Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020 Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020 Value-driven Hindsight Modelling NeurIPS 2020 Value Preserving State-Action Abstractions AISTATS 2020 A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems AAAI 2019 Advantage Amplification in Slowly Evolving Latent-State Environments IJCAI 2019 An Entity-Driven Framework for Abstractive Summarization EMNLP 2019 Answers Unite! Unsupervised Metrics for Reinforced Summarization Models EMNLP 2019 Better Rewards Yield Better Summaries: Learning to Summarise Without References EMNLP 2019 Budgeted Reinforcement Learning in Continuous State Space NeurIPS 2019 Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NeurIPS 2019 Conditions on Features for Temporal Difference-Like Methods to Converge IJCAI 2019