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continuous control

364 papers

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Co-occurring keywords · papers mentioning both

reinforcement learning (111) deep reinforcement learning (58) sample efficiency (47) policy gradient (47) model-based reinforcement learning (46) policy optimization (39) off-policy learning (32) imitation learning (31) policy learning (18) offline reinforcement learning (17)

Papers

Generalized Behavior Learning from Diverse Demonstrations ICLR 2025 Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces ICLR 2025 Improving Value Estimation Critically Enhances Vanilla Policy Gradient ICML 2025 KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies ICML 2025 KIPPO: Koopman-Inspired Proximal Policy Optimization IJCAI 2025 Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning ICLR 2025 Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network ICML 2025 Logarithmic Regret for Nonlinear Control L4DC 2025 ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization ICLR 2025 Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control ICLR 2025 PWM: Policy Learning with Multi-Task World Models ICLR 2025 Residual-MPPI: Online Policy Customization for Continuous Control ICLR 2025 Risk-Sensitive Variational Actor-Critic: A Model-Based Approach ICLR 2025 Select before Act: Spatially Decoupled Action Repetition for Continuous Control ICLR 2025 SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks AAAI 2025 SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks AAAI 2025 Truncated Gaussian Policy for Debiased Continuous Control AAAI 2025 Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization ICLR 2025 Visual Reinforcement Learning with Residual Action AAAI 2025 Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence ICML 2024 ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization ICML 2024 AI-Olympics: Exploring the Generalization of Agents through Open Competitions IJCAI 2024 Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control NeurIPS 2024 Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System AAAI 2024 Behaviour Distillation ICLR 2024