Deep RL

Improving Language Model Reasoning with Self-motivated Learning COLING 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024 In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought ICML 2024 In-context Exploration-Exploitation for Reinforcement Learning ICLR 2024 Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference for Cost-Effective Cultural Heritage Dataset Generation EMNLP 2024 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 In value-based deep reinforcement learning, a pruned network is a good network ICML 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 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 Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF ICML 2024 iVideoGPT: Interactive VideoGPTs are Scalable World Models NeurIPS 2024 Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024 JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning COLING 2024 Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX ICLR 2024 Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations ICML 2024 KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning COLING 2024 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024 Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning ACL 2024