conftrace_

goal-conditioned policy

36 papers

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Co-occurring keywords

hierarchical reinforcement learning (171) reinforcement learning (4352) imitation learning (744) offline reinforcement learning (492) robotic manipulation (292) representation learning (6206) self-supervised learning (3777) exploration strategy (96) goal-conditioned reinforcement learning (40) hindsight experience replay (18)

Papers

FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation AAAI 2026
Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy CVPR 2025
Are Expressive Models Truly Necessary for Offline RL? AAAI 2025
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NIPS 2024
Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation RSS 2024
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation AAAI 2024
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NIPS 2024
Identifying Selections for Unsupervised Subtask Discovery NIPS 2024
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies RSS 2023
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy CVPR 2023
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction CVPR 2023
Distance Weighted Supervised Learning for Offline Interaction Data ICML 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning NIPS 2023
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control CORL 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping CORL 2022
Adaptive Multi-Goal Exploration AISTATS 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks CORL 2022
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action CORL 2022
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning AAAI 2022
Deep Hierarchical Planning from Pixels NIPS 2022
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning NIPS 2022
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning NIPS 2021
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience CORL 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020