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Policy Learning

2,633 papers

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Papers

Learning to Open and Traverse Doors with a Legged Manipulator CoRL 2024 Lessons from Learning to Spin “Pens” CoRL 2024 Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback ICML 2024 Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery ICML 2024 Low-rank MDPs with Continuous Action Spaces AISTATS 2024 MaIL: Improving Imitation Learning with Selective State Space Models CoRL 2024 ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data CoRL 2024 Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality JMLR 2024 Maximum entropy GFlowNets with soft Q-learning AISTATS 2024 Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow NeurIPS 2024 Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning ICML 2024 Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NeurIPS 2024 Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer ICLR 2024 Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis ICLR 2024 Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024 Meta-learning linear quadratic regulators: a policy gradient MAML approach for model-free LQR L4DC 2024 Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation CoRL 2024 Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024 Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Model-Based Transfer Learning for Contextual Reinforcement Learning NeurIPS 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024 Model-Free Robust $φ$-Divergence Reinforcement Learning Using Both Offline and Online Data ICML 2024