Reinforcement Learning

Building Socially-Equitable Public Models ICML 2024 By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning IJCAI 2024 CACTO-SL: Using Sobolev learning to improve continuous actor-critic with trajectory optimization L4DC 2024 CALE: Continuous Arcade Learning Environment NeurIPS 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 Carbon Market Simulation with Adaptive Mechanism Design IJCAI 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 Causal State Distillation for Explainable Reinforcement Learning CLeaR 2024 Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning AAAI 2024 CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments 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 ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles CVPR 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 ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces IJCAI 2024 Cloud-LoRa: Enabling Cloud Radio Access LoRa Networks Using Reinforcement Learning Based Bandwidth-Adaptive Compression NSDI 2024