Reinforcement Learning

Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning AAAI 2024 Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention AAAI 2024 Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024 Horizon-Free Regret for Linear Markov Decision Processes ICLR 2024 Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs ICLR 2024 How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NeurIPS 2024 How Do Humans Write Code? Large Models Do It the Same Way Too EMNLP 2024 Identifying Selections for Unsupervised Subtask Discovery NeurIPS 2024 Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation CVPR 2024 Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning AAAI 2024 Imitating Language via Scalable Inverse Reinforcement Learning NeurIPS 2024 Implicit Curriculum in Procgen Made Explicit NeurIPS 2024 Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024 Improved off-policy training of diffusion samplers NeurIPS 2024 Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024 Improving Context-Aware Preference Modeling for Language Models NeurIPS 2024 Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn NeurIPS 2024 Improving Intrinsic Exploration by Creating Stationary Objectives ICLR 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024 Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference for Cost-Effective Cultural Heritage Dataset Generation EMNLP 2024 Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024 InstructVideo: Instructing Video Diffusion Models with Human Feedback CVPR 2024 Intelligent Switching for Reset-Free RL ICLR 2024 Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents NeurIPS 2024 Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts EMNLP 2024