conftrace_

Reinforcement Learning

9,982 papers (145 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Methods (8,258) Applications (3,394)

Papers per year

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83

216

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722

966

1,128

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362

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Papers (including subtopics)

SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling NeurIPS 2024 Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL NeurIPS 2024 SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning ACL 2024 Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic ICML 2024 Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract) IJCAI 2024 Selective Visual Representations Improve Convergence and Generalization for Embodied AI ICLR 2024 Self-Composing Policies for Scalable Continual Reinforcement Learning ICML 2024 SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People CoRL 2024 SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets ICML 2024 Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning ICML 2024 Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach ICML 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Set It Up!: Functional Object Arrangement with Compositional Generative Models RSS 2024 Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing AAAI 2024 Settling the sample complexity of online reinforcement learning COLT 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 SHADOW: Leveraging Segmentation Masks for Cross-Embodiment Policy Transfer CoRL 2024 Shape From Shading for Robotic Manipulation WACV 2024 Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies COLING 2024 SHINE: Shielding Backdoors in Deep Reinforcement Learning ICML 2024 Simple Hierarchical Planning with Diffusion ICLR 2024 Simple Ingredients for Offline Reinforcement Learning ICML 2024 Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure CoRL 2024 Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice AAAI 2024 Simplifying Constraint Inference with Inverse Reinforcement Learning NeurIPS 2024