Reinforcement Learning

Interpreting Learned Feedback Patterns in Large Language Models NeurIPS 2024 Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024 I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives AAAI 2024 Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? NeurIPS 2024 Is Value Learning Really the Main Bottleneck in Offline RL? NeurIPS 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NeurIPS 2024 Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX ICLR 2024 KAUCUS - Knowledgeable User Simulators for Training Large Language Models EACL 2024 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024 Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning ACL 2024 Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NeurIPS 2024 Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training NeurIPS 2024 Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach JMLR 2024 Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret AAAI 2024 Learning Formal Mathematics From Intrinsic Motivation NeurIPS 2024 Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning AAAI 2024 Learning Multi-Object Positional Relationships via Emergent Communication AAAI 2024 Learning Optimal Advantage from Preferences and Mistaking It for Reward AAAI 2024 Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing EMNLP 2024 Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024 Learning Safety Constraints from Demonstrations with Unknown Rewards AISTATS 2024 Learning Successor Features the Simple Way NeurIPS 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NeurIPS 2024 Learning to Assist Humans without Inferring Rewards NeurIPS 2024 Learning to Cooperate with Humans using Generative Agents NeurIPS 2024