Abstract
Shanchen Pang, Xi Yu, Haiyuan Gui, Shihang Yu, Wenhao Ji, Nuanlai Wang, Kuijie Zhang
Abstract
Authors
Institutions
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Vapor: Legged robot navigation in unstructured outdoor environments using offline reinforcement learning
2024
On-robot reinforcement learning with goal-contrastive rewards
2025
Causal deconfounding deep reinforcement learning for mobile robot motion planning
10.1016/j.knosys.2024.112406 · 2024
DiffSkill: Improving reinforcement learning through diffusion-based skill denoiser for robotic manipulation
10.1016/j.knosys.2024.112190 · 2024
Multithreaded asynchronous deep reinforcement learning with multisensor fusion for robot collision avoidance
10.1109/tnnls.2025.3556438 · 2025
Unresolved referenced work
2019
Hindsight experience replay
2017
A transformation-aggregation framework for state representation of autonomous driving systems
10.1109/tits.2023.3348489 · 2024
Unresolved referenced work
2022
Offline goal-conditioned reinforcement learning via f-advantage regression
10.52202/068431-0023 · 2022
Provenance
crossref
Confidence 100%
ror
Confidence 99%
ror
Confidence 99%
openalex
Confidence 95%
datacite
Confidence 0%
Learn zero-constraint-violation safe policy in model-free constrained reinforcement learning.
2024
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
2021
Offline goal-conditioned reinforcement learning for safety-critical tasks with recovery policy
2024
Constraints penalized q-learning for safe offline reinforcement learning
2022
Unresolved referenced work
2022
Denoising diffusion probabilistic models
2020
Policy optimization by looking ahead for model-based offline reinforcement learning
2024
Improving offline reinforcement learning with in-sample advantage regularization for robot manipulation
2024
Unresolved referenced work
2017
Highly valued subgoal generation for efficient goal-conditioned reinforcement learning
10.1016/j.neunet.2024.106825 · 2025
A goal-conditioned offline reinforcement learning algorithm and its application to quad-rotors
10.1016/j.engappai.2025.110678 · 2025
Unresolved referenced work
2021
Unresolved referenced work
2023
10.1145/3637528.3671638
10.1145/3637528.3671638
Model-based off-policy deep reinforcement learning with model-embedding
10.1109/tetci.2024.3369636 · 2024
Recovery rl: Safe reinforcement learning with learned recovery zones
10.1109/lra.2021.3070252 · 2021
Safe offline reinforcement learning with real-time budget constraints
2023
A review of safe reinforcement learning: Methods, theories and applications
10.1109/tpami.2024.3457538 · 2024
Constraint-adaptive policy switching for offline safe reinforcement learning
2025
Unresolved referenced work
2024
Risk-constrained reinforcement learning with percentile risk criteria
2018
Batch policy learning under constraints
2019
Constrained decision transformer for offline safe reinforcement learning
2023
Balancing therapeutic effect and safety in ventilator parameter recommendation: An offline reinforcement learning approach
10.1016/j.engappai.2023.107784 · 2024
Shielded planning guided data-efficient and safe reinforcement learning
10.1109/tnnls.2024.3359031 · 2024
Deep reinforcement learning for robotics: A survey of real-world successes
2025
Deep reinforcement learning: A survey
10.1109/tnnls.2022.3207346 · 2024
Unresolved referenced work
2022
Neuronlike adaptive elements that can solve difficult learning control problems
10.1109/tsmc.1983.6313077 · 2012
QFAE: Q-function guided action exploration for offline deep reinforcement learning
10.1016/j.patcog.2024.111032 · doi-reference
Neuronlike adaptive elements that can solve difficult learning control problems
10.1109/tsmc.1983.6313077 · doi-reference
Deep reinforcement learning: A survey
10.1109/tnnls.2022.3207346 · doi-reference
Shielded planning guided data-efficient and safe reinforcement learning
10.1109/tnnls.2024.3359031 · doi-reference
Balancing therapeutic effect and safety in ventilator parameter recommendation: An offline reinforcement learning approach
10.1016/j.engappai.2023.107784 · doi-reference
A review of safe reinforcement learning: Methods, theories and applications
10.1109/tpami.2024.3457538 · doi-reference
Recovery rl: Safe reinforcement learning with learned recovery zones
10.1109/lra.2021.3070252 · doi-reference
Model-based off-policy deep reinforcement learning with model-embedding
10.1109/tetci.2024.3369636 · doi-reference
10.1145/3637528.3671638
10.1145/3637528.3671638 · doi-reference
A goal-conditioned offline reinforcement learning algorithm and its application to quad-rotors
10.1016/j.engappai.2025.110678 · doi-reference
Highly valued subgoal generation for efficient goal-conditioned reinforcement learning
10.1016/j.neunet.2024.106825 · doi-reference
Offline goal-conditioned reinforcement learning via f-advantage regression
10.52202/068431-0023 · doi-reference
A transformation-aggregation framework for state representation of autonomous driving systems
10.1109/tits.2023.3348489 · doi-reference
Multithreaded asynchronous deep reinforcement learning with multisensor fusion for robot collision avoidance
10.1109/tnnls.2025.3556438 · doi-reference
DiffSkill: Improving reinforcement learning through diffusion-based skill denoiser for robotic manipulation
10.1016/j.knosys.2024.112190 · doi-reference
Causal deconfounding deep reinforcement learning for mobile robot motion planning
10.1016/j.knosys.2024.112406 · doi-reference