Methods

Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models AAAI 2024 Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures ICLR 2024 Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems NeurIPS 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 In value-based deep reinforcement learning, a pruned network is a good network ICML 2024 Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning NeurIPS 2024 Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024 Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning ICML 2024 INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer ICML 2024 i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance AAAI 2024 Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization COLING 2024 Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study ICML 2024 Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective ICML 2024 Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? NeurIPS 2024 Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL NeurIPS 2024 Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning NAACL 2024 Is Value Learning Really the Main Bottleneck in Offline RL? NeurIPS 2024 Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF ICML 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NeurIPS 2024 Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint ICML 2024 Iterative Regularized Policy Optimization with Imperfect Demonstrations ICML 2024 iVideoGPT: Interactive VideoGPTs are Scalable World Models NeurIPS 2024 JaxMARL: Multi-Agent RL Environments and Algorithms in JAX NeurIPS 2024 Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024