Co-occurring keywords · papers mentioning both
Papers
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
AAAI 2022
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
CoRL 2022
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
CoRL 2022
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
NeurIPS 2021
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
ICLR 2021
Model-Based Offline Planning
ICLR 2021
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies
AAAI 2020
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
NeurIPS 2020
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
CoRL 2020
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
AAAI 2020
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
RSS 2020
Compositional Plan Vectors
NeurIPS 2019
Goal-conditioned Imitation Learning
NeurIPS 2019
Learning Actionable Representations with Goal Conditioned Policies
ICLR 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
ICML 2019
Planning with Goal-Conditioned Policies
NeurIPS 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
CoRL 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
NeurIPS 2019
Unsupervised Control Through Non-Parametric Discriminative Rewards
ICLR 2019
Data-Efficient Hierarchical Reinforcement Learning
NeurIPS 2018
Visual Reinforcement Learning with Imagined Goals
NeurIPS 2018
Zero-Shot Visual Imitation
ICLR 2018
FeUdal Networks for Hierarchical Reinforcement Learning
ICML 2017