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1805.08296
Cited By
Data-Efficient Hierarchical Reinforcement Learning
21 May 2018
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
OffRL
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Papers citing
"Data-Efficient Hierarchical Reinforcement Learning"
50 / 447 papers shown
Title
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Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph
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Neuro-algorithmic Policies enable Fast Combinatorial Generalization
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Discovery of Options via Meta-Learned Subgoals
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David Silver
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29
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12 Feb 2021
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks
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Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm
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Rajarshi Banerjee
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0
30 Jan 2021
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning
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Renke Huang
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Tianzhixi Yin
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29 Jan 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options
Jesse Zhang
Haonan Yu
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16 Jan 2021
Deciding What to Learn: A Rate-Distortion Approach
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15 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation
OpenAI OpenAI
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Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
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Active Hierarchical Imitation and Reinforcement Learning
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Reset-Free Lifelong Learning with Skill-Space Planning
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Latent Skill Planning for Exploration and Transfer
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A survey of benchmarking frameworks for reinforcement learning
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World Model as a Graph: Learning Latent Landmarks for Planning
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C-Learning: Horizon-Aware Cumulative Accessibility Estimation
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From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
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Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
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Avoiding Tampering Incentives in Deep RL via Decoupled Approval
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Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning
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Hierarchical Reinforcement Learning for Relay Selection and Power Optimization in Two-Hop Cooperative Relay Network
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Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
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Representation Matters: Improving Perception and Exploration for Robotics
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Abstract Value Iteration for Hierarchical Reinforcement Learning
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Behavior Priors for Efficient Reinforcement Learning
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OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
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Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
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What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator
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Provable Hierarchical Imitation Learning via EM
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Learning Diverse Options via InfoMax Termination Critic
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Disentangling causal effects for hierarchical reinforcement learning
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Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
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Correcting Experience Replay for Multi-Agent Communication
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Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
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Guided Policy Search Based Control of a High Dimensional Advanced Manufacturing Process
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Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion
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ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation
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OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
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