Methods

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024 Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks AAAI 2024 Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn NeurIPS 2024 Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting ICML 2024 Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation ICML 2024 Improving Intrinsic Exploration by Creating Stationary Objectives ICLR 2024 Improving Language Model Reasoning with Self-motivated Learning COLING 2024 Improving Multi-agent Reinforcement Learning with Stable Prefix Policy IJCAI 2024 Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence EMNLP 2024 Improving Offline RL by Blending Heuristics ICLR 2024 Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games ICML 2024 Improving Token-Based World Models with Parallel Observation Prediction ICML 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 In-Context Learning Agents Are Asymmetric Belief Updaters ICML 2024 In-Context Reinforcement Learning for Variable Action Spaces ICML 2024 Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference for Cost-Effective Cultural Heritage Dataset Generation EMNLP 2024 Independent Learning in Constrained Markov Potential Games AISTATS 2024 Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning ICML 2024 Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments ICML 2024 Information Bottleneck Based Data Correction in Continual Learning ECCV 2024 Information-Directed Pessimism for Offline Reinforcement Learning ICML 2024 Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning JMLR 2024