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Methods

8,258 papers (12 classified directly here)

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Papers (including subtopics)

Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NeurIPS 2024 Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 Causal State Distillation for Explainable Reinforcement Learning CLeaR 2024 Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning AAAI 2024 Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications AISTATS 2024 C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 Chain-of-Thought Predictive Control ICML 2024 Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024 Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform ICLR 2024 CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NeurIPS 2024 Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization ICML 2024 Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR 2024 Cloud-LoRa: Enabling Cloud Radio Access LoRa Networks Using Reinforcement Learning Based Bandwidth-Adaptive Compression NSDI 2024 Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract) AAAI 2024 ClutterGen: A Cluttered Scene Generator for Robot Learning CoRL 2024 Code as Reward: Empowering Reinforcement Learning with VLMs ICML 2024 Code Models are Zero-shot Precondition Reasoners NAACL 2024 Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024 Collaborative Planar Pushing of Polytopic Objects with Multiple Robots in Complex Scenes RSS 2024 Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling AAAI 2024 Combining Experimental and Historical Data for Policy Evaluation ICML 2024 Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels ACL 2024 CompetEvo: Towards Morphological Evolution from Competition IJCAI 2024 Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NeurIPS 2024