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Simplifying Reward Design through Divide-and-Conquer
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10514-015-9454-zopenalex-snapshot
Active reward learning with a novel acquisition function
inferredcites →https://doi.org/10.1109/icra.2011.5980048openalex-snapshot
Planning human-aware motions using a sampling-based costmap planner
inferredcites →https://doi.org/10.1145/2909824.3020225openalex-snapshot
Design and Evaluation of Adverb Palette
inferredcites →https://doi.org/10.1177/0278364914528132openalex-snapshot
Motion planning with sequential convex optimization and convex collision checking
inferredcites →https://doi.org/10.1177/0278364915581193openalex-snapshot
Learning preferences for manipulation tasks from online coactive feedback
inferredcites →https://doi.org/10.1184/r1/6555512openalex-snapshot
Maximum Entropy Inverse Reinforcement Learning
inferredcites →https://doi.org/10.15607/rss.2015.xi.018openalex-snapshot
Grounding English Commands to Reward Functions
inferredcites →https://doi.org/10.15607/rss.2017.xiii.053openalex-snapshot
Active Preference-Based Learning of Reward Functions
inferredcites →https://doi.org/10.1609/aaai.v28i1.8839openalex-snapshot
A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback
inferredcites →https://doi.org/10.1609/aaai.v30i1.10010openalex-snapshot
Learning the Preferences of Ignorant, Inconsistent Agents
inferredcites →https://doi.org/10.21437/interspeech.2012-72openalex-snapshot
Preference-learning based inverse reinforcement learning for dialog control
inferredcites →https://doi.org/10.2460/ajvr.67.2.323openalex-snapshot
Pharmacokinetics of a novel formulation of ivermectin after administration to goats
inferredcites →https://doi.org/10.48550/arxiv.1206.6848openalex-snapshot
MCMC for doubly-intractable distributions
inferredcites →https://doi.org/10.48550/arxiv.1706.03741openalex-snapshot
Deep reinforcement learning from human preferences
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Coupled Conditional Neural Movement Primitives
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Validating metrics for reward alignment in human-autonomy teaming
inferred← citeshttps://doi.org/10.1109/access.2020.3001130openalex-snapshot
A Reinforcement Learning-Based Framework for Robot Manipulation Skill Acquisition
inferred← citeshttps://doi.org/10.1109/icra48891.2023.10160439openalex-snapshot
Active Reward Learning from Online Preferences
inferred← citeshttps://doi.org/10.1109/icra48891.2023.10161261openalex-snapshot
Aligning Human Preferences with Baseline Objectives in Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/icra57147.2024.10610505openalex-snapshot
POLITE: Preferences Combined with Highlights in Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/lra.2020.2977217openalex-snapshot
Planning With Uncertain Specifications (PUnS)
inferred← citeshttps://doi.org/10.1109/lra.2021.3092640openalex-snapshot
Efficient Learning of Goal-Oriented Push-Grasping Synergy in Clutter
inferred← citeshttps://doi.org/10.1109/lra.2021.3128237openalex-snapshot
Human-Feedback Shield Synthesis for Perceived Safety in Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/smc42975.2020.9283227openalex-snapshot
Proposal of Time-based evaluation for Universal Sensor Evaluation Index in Self-generation of Reward
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3168795openalex-snapshot
Energy-Based Continuous Inverse Optimal Control
inferred← citeshttps://doi.org/10.1145/3319502.3374779openalex-snapshot
Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks
inferred← citeshttps://doi.org/10.1155/int/1636497openalex-snapshot
A Review on Reinforcement Learning for Motion Planning of Robotic Manipulators
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1010316openalex-snapshot
The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons
inferred← citeshttps://doi.org/10.1609/aaai.v37i5.25733openalex-snapshot
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications
inferred← citeshttps://doi.org/10.1613/jair.1.13326openalex-snapshot
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
inferred← citeshttps://doi.org/10.31590/ejosat.1008702openalex-snapshot
Setting Reward Function of Sensor Based DDQN Model
inferred← citeshttps://doi.org/10.3390/app12073635openalex-snapshot
Unsupervised Driving Situation Detection in Latent Space for Autonomous Cars
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Optimized Deep Reinforcement Learning for Dual-Task Control in Deep-Sea Mining: Path Following and Obstacle Avoidance
inferred← citeshttps://doi.org/10.48550/arxiv.1810.00147openalex-snapshot
M$^3$RL: Mind-aware Multi-agent Management Reinforcement Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2107.10939openalex-snapshot
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