| Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL | Dec 25, 2024 | Offline RLReinforcement Learning (RL) | CodeCode Available | 0 |
| Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization | Dec 24, 2024 | Offline RLReinforcement Learning (RL) | —Unverified | 0 |
| AdaCred: Adaptive Causal Decision Transformers with Feature Crediting | Dec 19, 2024 | AttributeImitation Learning | —Unverified | 0 |
| Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning | Dec 11, 2024 | Autonomous DrivingOffline RL | CodeCode Available | 0 |
| Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone | Dec 9, 2024 | global-optimizationImitation Learning | —Unverified | 0 |
| Reinforcement Learning: An Overview | Dec 6, 2024 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting | Dec 5, 2024 | D4RLOffline RL | —Unverified | 0 |
| Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback | Dec 3, 2024 | ObjectOffline RL | —Unverified | 0 |
| Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization | Nov 27, 2024 | Computational EfficiencyOffline RL | —Unverified | 0 |
| LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble | Nov 26, 2024 | Offline RLReinforcement Learning (RL) | —Unverified | 0 |
