reinforcement learning

Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds NeurIPS 2023 Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction EMNLP 2023 Task-aware Adaptive Learning for Cross-domain Few-shot Learning ICCV 2023 TaskMet: Task-driven Metric Learning for Model Learning NeurIPS 2023 Task-Optimized Adapters for an End-to-End Task-Oriented Dialogue System ACL 2023 TD Convergence: An Optimization Perspective NeurIPS 2023 TEMPERA: Test-Time Prompt Editing via Reinforcement Learning ICLR 2023 Temporal Abstraction in Reinforcement Learning with the Successor Representation JMLR 2023 Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning ICLR 2023 Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning EMNLP 2023 TextWorldExpress: Simulating Text Games at One Million Steps Per Second EACL 2023 TGRL: An Algorithm for Teacher Guided Reinforcement Learning ICML 2023 The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023 The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications AAAI 2023 The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning ICML 2023 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry ICLR 2023 The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning ICML 2023 The Wisdom of Hindsight Makes Language Models Better Instruction Followers ICML 2023 Thought Cloning: Learning to Think while Acting by Imitating Human Thinking NeurIPS 2023 Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient COLT 2023 Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints ICLR 2023 Toward Efficient Gradient-Based Value Estimation ICML 2023 Towards a better understanding of representation dynamics under TD-learning ICML 2023 Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models ACL 2023 Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract) AAAI 2023