conftrace_

Methods

8,258 papers (12 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Deep RL (4,525) Policy Learning (2,633) Multi-Agent Systems (1,251) Offline RL (1,025) Model-Based RL (291) Meta-Learning (80)

Papers per year

6

1

2

2

16

21

24

16

31

36

44

47

44

37

63

171

350

606

801

920

974

1,144

1,380

1,203

319

'5

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Papers (including subtopics)

Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024 Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification CVPR 2024 Dynamic Prompt Optimizing for Text-to-Image Generation CVPR 2024 Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation AAAI 2024 Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation COLING 2024 DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning NeurIPS 2024 DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems ICML 2024 E2CL: Exploration-based Error Correction Learning for Embodied Agents EMNLP 2024 EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading AAAI 2024 Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision NeurIPS 2024 ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance ICML 2024 Effect-Invariant Mechanisms for Policy Generalization JMLR 2024 Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning ICML 2024 Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes NeurIPS 2024 Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization IJCAI 2024 Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NeurIPS 2024 Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning ICLR 2024 Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent AISTATS 2024 Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction UAI 2024 Efficient Multi-agent Reinforcement Learning by Planning ICLR 2024 Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NeurIPS 2024 Efficient Offline Meta-Reinforcement Learning via Robust Task Representations and Adaptive Policy Generation IJCAI 2024 Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design ICML 2024 Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate NeurIPS 2024 Efficient Reinforcement Learning by Discovering Neural Pathways NeurIPS 2024