Deep RL

Vertical Symbolic Regression via Deep Policy Gradient IJCAI 2024 Virtual Action Actor-Critic Framework for Exploration (Student Abstract) AAAI 2024 VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation RSS 2024 vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement IJCAI 2024 Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement EMNLP 2024 Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems EMNLP 2024 What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction AAAI 2024 When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search NeurIPS 2024 When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL NeurIPS 2024 When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback NeurIPS 2024 Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning ICML 2024 WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts CoRL 2024 WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment NeurIPS 2024 WPO: Enhancing RLHF with Weighted Preference Optimization EMNLP 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NeurIPS 2024 Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach ICML 2024 TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NeurIPS 2023 3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification CVPR 2023 Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games ACL 2023 Accelerating Exploration with Unlabeled Prior Data NeurIPS 2023 Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration NeurIPS 2023 ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency AAAI 2023 Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation ICLR 2023 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023 Active Coverage for PAC Reinforcement Learning COLT 2023