Methods

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning ICLR 2024 ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning AAAI 2024 Confidence Aware Inverse Constrained Reinforcement Learning ICML 2024 Confident Natural Policy Gradient for Local Planning in q_π-realizable Constrained MDPs NeurIPS 2024 Configurable Mirror Descent: Towards a Unification of Decision Making ICML 2024 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases ICML 2024 Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning ICLR 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication AISTATS 2024 Constrained Intrinsic Motivation for Reinforcement Learning IJCAI 2024 Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NeurIPS 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Constrained Reinforcement Learning Under Model Mismatch ICML 2024 ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints IJCAI 2024 Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data MICCAI 2024 Contextual Bilevel Reinforcement Learning for Incentive Alignment NeurIPS 2024 Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning ICML 2024 Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning AAAI 2024 Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal IJCAI 2024 Continuous Control with Coarse-to-fine Reinforcement Learning CoRL 2024 Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024 Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning ICML 2024 Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment EMNLP 2024 Controlled Decoding from Language Models ICML 2024 Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning ICML 2024