Deep RL

Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces ICML 2024 Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming AAAI 2024 Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation ACL 2024 Learning Uncertainty-Aware Temporally-Extended Actions AAAI 2024 Learning Versatile Skills with Curriculum Masking NeurIPS 2024 Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions CoRL 2024 Learning World Models for Unconstrained Goal Navigation NeurIPS 2024 Legolas: Deep Leg-Inertial Odometry CoRL 2024 Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions COLT 2024 LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback ACL 2024 LLM-Empowered State Representation for Reinforcement Learning ICML 2024 Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer AAAI 2024 M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex Games IJCAI 2024 MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery AAAI 2024 Mastering Memory Tasks with World Models ICLR 2024 Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models NeurIPS 2024 Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow NeurIPS 2024 MaxMin-RLHF: Alignment with Diverse Human Preferences ICML 2024 Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning ICML 2024 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024 MetaCURL: Non-stationary Concave Utility Reinforcement Learning NeurIPS 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024 Meta-learning linear quadratic regulators: a policy gradient MAML approach for model-free LQR L4DC 2024 Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024