Reinforcement Learning

Searching for High-Value Molecules Using Reinforcement Learning and Transformers ICLR 2024 Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement CVPR 2024 Semi-Supervised Reward Modeling via Iterative Self-Training EMNLP 2024 Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning ICLR 2024 SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation UAI 2024 Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution ICLR 2024 Spatially-Aware Transformers for Embodied Agents ICLR 2024 StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP 2024 STARC: A General Framework For Quantifying Differences Between Reward Functions ICLR 2024 State Chrono Representation for Enhancing Generalization in Reinforcement Learning NeurIPS 2024 Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NeurIPS 2024 Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning NeurIPS 2024 Sustainability of Data Center Digital Twins with Reinforcement Learning AAAI 2024 TD-MPC2: Scalable, Robust World Models for Continuous Control ICLR 2024 Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use EMNLP 2024 Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning NeurIPS 2024 Text-Aware Diffusion for Policy Learning NeurIPS 2024 The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models EMNLP 2024 The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games AAAI 2024 The Generalization Gap in Offline Reinforcement Learning ICLR 2024 Time-Efficient Reinforcement Learning with Stochastic Stateful Policies ICLR 2024 ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback EMNLP 2024 TorchRL: A data-driven decision-making library for PyTorch ICLR 2024 Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games ICLR 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024