Deep RL

TFWT: Tabular Feature Weighting with Transformer IJCAI 2024 The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract) AAAI 2024 The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NeurIPS 2024 The Importance of Online Data: Understanding Preference Fine-tuning via Coverage NeurIPS 2024 The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space NeurIPS 2024 The Power of Resets in Online Reinforcement Learning NeurIPS 2024 The surprising efficiency of temporal difference learning for rare event prediction NeurIPS 2024 The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NeurIPS 2024 The Value of Reward Lookahead in Reinforcement Learning NeurIPS 2024 Tight Rates for Bandit Control Beyond Quadratics NeurIPS 2024 Time-Constrained Robust MDPs NeurIPS 2024 TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback ACL 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 Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024 Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers MIDL 2024 Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning AAAI 2024 Towards a Zero-Data, Controllable, Adaptive Dialog System COLING 2024 Towards Better Question Generation in QA-based Event Extraction ACL 2024 Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning IJCAI 2024 Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing NeurIPS 2024 Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles ICML 2024 Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error ICML 2024 Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NeurIPS 2024 Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning CVPR 2024