Policy Learning

A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs AAAI 2024 A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning AAAI 2024 A Policy Gradient Method for Confounded POMDPs ICLR 2024 A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning AISTATS 2024 ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback EMNLP 2024 A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes ICML 2024 A Structure-Aware Framework for Learning Device Placements on Computation Graphs NeurIPS 2024 A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NeurIPS 2024 Augmented Bayesian Policy Search ICLR 2024 Augmenting Decision with Hypothesis in Reinforcement Learning ICML 2024 Automated Multi-level Preference for MLLMs NeurIPS 2024 Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards EMNLP 2024 Autoregressive Policy Optimization for Constrained Allocation Tasks NeurIPS 2024 Averaging n-step Returns Reduces Variance in Reinforcement Learning ICML 2024 Belief-State Query Policies for User-Aligned POMDPs NeurIPS 2024 Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms AAAI 2024 Bi-Level Motion Imitation for Humanoid Robots CoRL 2024 Blending Imitation and Reinforcement Learning for Robust Policy Improvement ICLR 2024 Body Transformer: Leveraging Robot Embodiment for Policy Learning CoRL 2024 Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping EMNLP 2024 Bounded robustness in reinforcement learning via lexicographic objectives L4DC 2024 Breadth-First Exploration on Adaptive Grid for Reinforcement Learning ICML 2024 Bridging Environments and Language with Rendering Functions and Vision-Language Models ICML 2024 Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning CoRL 2024 Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024