continuous action space

CAMAR: Continuous Actions Multi-Agent Routing AAAI 2026 Quantum Lipschitz Bandits AAAI 2026 Counterfactual Explanations for Continuous Action Reinforcement Learning IJCAI 2025 Visual Reinforcement Learning with Residual Action AAAI 2025 A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024 Continuous Control with Coarse-to-fine Reinforcement Learning CoRL 2024 Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NeurIPS 2024 Low-rank MDPs with Continuous Action Spaces AISTATS 2024 Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control NeurIPS 2024 Run-Time Task Composition with Safety Semantics ICML 2024 Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization IJCAI 2023 Contextual Bandits with Large Action Spaces: Made Practical ICML 2022 Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces ICML 2022 Deterministic policy gradient: Convergence analysis UAI 2022 Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution IJCAI 2022 On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces ICML 2022 Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution MLHC 2022 Sample-based Distributional Policy Gradient L4DC 2022 Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives NeurIPS 2021 Aligning an optical interferometer with beam divergence control and continuous action space CoRL 2021 Toward Robust Long Range Policy Transfer AAAI 2021 Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery AAAI 2021 Value Iteration in Continuous Actions, States and Time ICML 2021 Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management AAAI 2020 Expected Policy Gradients for Reinforcement Learning JMLR 2020