continuous state space

Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series ICLR 2025 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NeurIPS 2024 A theory of continuous generative flow networks ICML 2023 Finding Counterfactually Optimal Action Sequences in Continuous State Spaces NeurIPS 2023 Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity JMLR 2023 Extending Policy Shaping to Continuous State Spaces (Student Abstract) AAAI 2021 Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NeurIPS 2021 Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity ICML 2021 Value Iteration in Continuous Actions, States and Time ICML 2021 Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach IJCAI 2020 Neurosymbolic Reinforcement Learning with Formally Verified Exploration NeurIPS 2020 Approximate Relative Value Learning for Average-reward Continuous State MDPs UAI 2019 Budgeted Reinforcement Learning in Continuous State Space NeurIPS 2019 Explicit Explore-Exploit Algorithms in Continuous State Spaces NeurIPS 2019 Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NeurIPS 2019 Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings AISTATS 2016 Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning ICML 2015 Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014 Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees JMLR 2013 Integrated Perception and Planning in the Continuous Space: A POMDP Approach RSS 2013 Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NeurIPS 2012 On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NeurIPS 2012 Symbolic Dynamic Programming for Continuous State and Observation POMDPs NeurIPS 2012 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Fitted Q-iteration in continuous action-space MDPs NeurIPS 2007