Value Iteration

Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm NeurIPS 2019 Value Iteration Networks on Multiple Levels of Abstraction RSS 2019 Value Propagation Networks ICLR 2019 VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition AAAI 2019 A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018 Computational Approaches for Stochastic Shortest Path on Succinct MDPs IJCAI 2018 Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces NeurIPS 2018 Dynamic Resource Routing using Real-Time Dynamic Programming IJCAI 2018 Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning ICML 2018 Exploration by Distributional Reinforcement Learning IJCAI 2018 Fighting Boredom in Recommender Systems with Linear Reinforcement Learning NeurIPS 2018 Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018 Goal-HSVI: Heuristic Search Value Iteration for Goal POMDPs IJCAI 2018 Iterative Value-Aware Model Learning NeurIPS 2018 Learning to search with MCTSnets ICML 2018 Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes IJCAI 2018 Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NeurIPS 2018 Open Loop Execution of Tree-Search Algorithms IJCAI 2018 Optimal Multi-robot Task Planning: from Synthesis to Execution (and Back) IJCAI 2018 Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains IJCAI 2018 Planning and Learning with Stochastic Action Sets IJCAI 2018 Policy and Value Transfer in Lifelong Reinforcement Learning ICML 2018 rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions NeurIPS 2018 Scalable Bilinear Pi Learning Using State and Action Features ICML 2018 Scalable Construction and Reasoning of Massive Knowledge Bases NAACL 2018