value iteration

Provable Self-Play Algorithms for Competitive Reinforcement Learning ICML 2020 Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration NeurIPS 2020 Reinforcement Learning with Dynamic Boltzmann Softmax Updates IJCAI 2020 Reward-Free Exploration for Reinforcement Learning ICML 2020 Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020 Sharing Knowledge in Multi-Task Deep Reinforcement Learning ICLR 2020 Static and Dynamic Values of Computation in MCTS UAI 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 Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020 Advantage Amplification in Slowly Evolving Latent-State Environments IJCAI 2019 Approximate Relative Value Learning for Average-reward Continuous State MDPs UAI 2019 A Theory of Regularized Markov Decision Processes ICML 2019 Explicit Planning for Efficient Exploration in Reinforcement Learning NeurIPS 2019 Finding Options that Minimize Planning Time ICML 2019 How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019 Learning to Plan with Logical Automata RSS 2019 Limiting Extrapolation in Linear Approximate Value Iteration NeurIPS 2019 Planning in entropy-regularized Markov decision processes and games NeurIPS 2019 Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning AISTATS 2019 Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm NeurIPS 2019 Value Propagation Networks ICLR 2019 Computational Approaches for Stochastic Shortest Path on Succinct MDPs IJCAI 2018 Gated Path Planning Networks ICML 2018