Deep RL

VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization ICCV 2025 Visual Reinforcement Learning with Residual Action AAAI 2025 VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning CVPR 2025 VTDexManip: A Dataset and Benchmark for Visual-tactile Pretraining and Dexterous Manipulation with Reinforcement Learning ICLR 2025 Wasserstein Policy Optimization ICML 2025 Wavelet Policy: Lifting Scheme for Policy Learning in Long-Horizon Tasks ICCV 2025 WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning L4DC 2025 WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning EMNLP 2025 What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning AAAI 2025 When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning? AAAI 2025 XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning ICLR 2025 Zero Shot Generalization of Vision-Based RL Without Data Augmentation ICML 2025 ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning CoRL 2025 A Bayesian Approach to Online Planning ICML 2024 A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points IJCAI 2024 Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning AAAI 2024 Accelerating Visual Sparse-Reward Learning with Latent Nearest-Demonstration-Guided Explorations CoRL 2024 Achieving Constant Regret in Linear Markov Decision Processes NeurIPS 2024 ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning AAAI 2024 Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NeurIPS 2024 Activation-Descent Regularization for Input Optimization of ReLU Networks ICML 2024 Active Reinforcement Learning for Robust Building Control AAAI 2024 Actor Prioritized Experience Replay (Abstract Reprint) AAAI 2024 A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning AISTATS 2024 Adapting image-based RL policies via predicted rewards L4DC 2024