reinforcement learning

Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 Continual Reinforcement Learning for Controlled Text Generation COLING 2024 Continuously Improving Mobile Manipulation with Autonomous Real-World RL CoRL 2024 Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024 Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning ICLR 2024 Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms L4DC 2024 Controlled Decoding from Language Models ICML 2024 Controlled maximal variability along with reliable performance in recurrent neural networks NeurIPS 2024 Controlling Character Motions Without Observable Driving Source WACV 2024 Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph ACL 2024 Coordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management (Student Abstract) AAAI 2024 Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation ICML 2024 CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects ICLR 2024 Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning ACL 2024 Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs EMNLP 2024 CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning ICLR 2024 CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection WACV 2024 Curiosity-driven Red-teaming for Large Language Models ICLR 2024 Curriculum reinforcement learning for quantum architecture search under hardware errors ICLR 2024 Cycle Consistency Driven Object Discovery ICLR 2024 DC4L: Distribution shift recovery via data-driven control for deep learning models L4DC 2024 DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment COLING 2024 Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling NeurIPS 2024 Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization NeurIPS 2024