Policy Learning

Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024 Heterogeneous-Agent Reinforcement Learning JMLR 2024 HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming ICML 2024 Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention AAAI 2024 Hierarchical Reinforcement Learning for Point of Interest Recommendation IJCAI 2024 Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation IJCAI 2024 How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NeurIPS 2024 Human Alignment of Large Language Models through Online Preference Optimisation ICML 2024 Hybrid Reinforcement Learning from Offline Observation Alone ICML 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 Imitation Learning from Observation with Automatic Discount Scheduling ICLR 2024 Imitation Learning from Purified Demonstrations ICML 2024 Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control ICLR 2024 Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States ICML 2024 Implicit Curriculum in Procgen Made Explicit NeurIPS 2024 Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024 Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024 Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024 Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation ICML 2024 Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence EMNLP 2024 Independent Learning in Constrained Markov Potential Games AISTATS 2024 Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models AAAI 2024 Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents NeurIPS 2024 In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates NeurIPS 2024