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Reinforcement Learning

2932 directly classified papers

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Papers

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NIPS 2024
Differentially Private Reward Estimation with Preference Feedback AISTATS 2024
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NIPS 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024
Graph Diffusion Policy Optimization NIPS 2024
Robust Reinforcement Learning with General Utility NIPS 2024
Measuring Goal-Directedness NIPS 2024
Identifying Selections for Unsupervised Subtask Discovery NIPS 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NIPS 2024
Recurrent Reinforcement Learning with Memoroids NIPS 2024
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NIPS 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn NIPS 2024
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning NIPS 2024
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning AAAI 2024
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems AISTATS 2024
A General Theoretical Paradigm to Understand Learning from Human Preferences AISTATS 2024
Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation CVPR 2024
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NIPS 2024
Implicit Curriculum in Procgen Made Explicit NIPS 2024
Controlled maximal variability along with reliable performance in recurrent neural networks NIPS 2024
Statistical Efficiency of Distributional Temporal Difference Learning NIPS 2024
Low-rank MDPs with Continuous Action Spaces AISTATS 2024