Robotics

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning ICLR 2024 Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation RSS 2024 QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration JMLR 2024 Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics ICML 2024 QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NeurIPS 2024 Rapid Motor Adaptation for Robotic Manipulator Arms CVPR 2024 READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning CVPR 2024 Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024 Reconciling Reality through Simulation: A Real-To-Sim-to-Real Approach for Robust Manipulation RSS 2024 ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024 Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning CVPR 2024 Reinforcement Learning for Athletic Intelligence: Lessons from the 1st “AI Olympics with RealAIGym” Competition IJCAI 2024 Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NeurIPS 2024 Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer NeurIPS 2024 Reinforcement Learning via Auxillary Task Distillation ECCV 2024 Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems NeurIPS 2024 Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control NeurIPS 2024 Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024 ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning CoRL 2024 Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning RSS 2024 Resilient Constrained Reinforcement Learning AISTATS 2024 Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers RSS 2024 Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency ICLR 2024 Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning ICML 2024 Reward Shaping for Reinforcement Learning with An Assistant Reward Agent ICML 2024