conftrace_

robotic control

31 papers

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Co-occurring keywords

reinforcement learning (4352) vision-language-action model (34) continuous control (246) sample efficiency (472) deep reinforcement learning (903) large language model (13587) neural network (6616) sparse reward (141) safety constraint (69) hierarchical reinforcement learning (171)

Papers

MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action Agents ACL 2026
Stable Language Guidance for Vision–Language–Action Models ACL 2026
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution AAAI 2025
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos CVPR 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025
VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers ICCV 2025
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow NIPS 2024
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024
Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract) AAAI 2024
URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images RSS 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control NIPS 2024
A Policy Optimization Method Towards Optimal-time Stability CORL 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control CORL 2023
Adaptive Online Replanning with Diffusion Models NIPS 2023
Learning Shared Safety Constraints from Multi-task Demonstrations NIPS 2023
LIV: Language-Image Representations and Rewards for Robotic Control ICML 2023
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning ICML 2022
Offline Reinforcement Learning at Multiple Frequencies CORL 2022
Deep Black-Box Reinforcement Learning with Movement Primitives CORL 2022
Truly Deterministic Policy Optimization NIPS 2022
Imitation Learning by Estimating Expertise of Demonstrators ICML 2022
Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic ACML 2021
Continuous then discrete: A recommendation for building robotic brains CORL 2021
Smooth Exploration for Robotic Reinforcement Learning CORL 2021
Strength Through Diversity: Robust Behavior Learning via Mixture Policies CORL 2021