Reinforcement Learning

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings AAAI 2024 Automated Multi-level Preference for MLLMs NeurIPS 2024 Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards EMNLP 2024 Axioms for AI Alignment from Human Feedback NeurIPS 2024 BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning AAAI 2024 Belief-State Query Policies for User-Aligned POMDPs NeurIPS 2024 BenchMARL: Benchmarking Multi-Agent Reinforcement Learning JMLR 2024 BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer (Student Abstract) AAAI 2024 Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms AAAI 2024 Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024 Beyond Optimism: Exploration With Partially Observable Rewards NeurIPS 2024 BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NeurIPS 2024 BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024 Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds JMLR 2024 Calibrating Language Models with Adaptive Temperature Scaling EMNLP 2024 Can Learned Optimization Make Reinforcement Learning Less Difficult? NeurIPS 2024 Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated AAAI 2024 Carbon Footprint Reduction for Sustainable Data Centers in Real-Time AAAI 2024 Carrot and Stick: Eliciting Comparison Data and Beyond NeurIPS 2024 Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning CVPR 2024 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 CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NeurIPS 2024 CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NeurIPS 2024 Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract) AAAI 2024