policy learning

Efficient imitation learning with conservative world models L4DC 2024 Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NeurIPS 2024 Efficient SQA from Long Audio Contexts: A Policy-driven Approach Interspeech 2024 Efficient Subgraph GNNs by Learning Effective Selection Policies ICLR 2024 EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data ICML 2024 Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches ICLR 2024 Embodied Human Activity Recognition WACV 2024 Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning NeurIPS 2024 Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games AISTATS 2024 Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues EMNLP 2024 Fast Peer Adaptation with Context-aware Exploration ICML 2024 Feasibility Consistent Representation Learning for Safe Reinforcement Learning ICML 2024 Federated Ensemble-Directed Offline Reinforcement Learning NeurIPS 2024 First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs NeurIPS 2024 FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning CoRL 2024 Generative Flow Networks as Entropy-Regularized RL AISTATS 2024 GenRL: Multimodal-foundation world models for generalization in embodied agents NeurIPS 2024 Gentle Manipulation of Tree Branches: A Contact-Aware Policy Learning Approach CoRL 2024 GUIDE: Real-Time Human-Shaped Agents NeurIPS 2024 HumanPlus: Humanoid Shadowing and Imitation from Humans CoRL 2024 Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning AAAI 2024 Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents NeurIPS 2024 In vivo learning-based control of microbial populations density in bioreactors L4DC 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NeurIPS 2024 Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024