MO-Playground: Massively Parallelized Multi-Objective Reinforcement Learning for Robotics
Fuente:
arXiv
Saved in:
| Main Authors: | Janwani, Neil, Novoseller, Ellen, Lawhern, Vernon J., Tucker, Maegan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NaviGait: Navigating Dynamically Feasible Gait Libraries using Deep Reinforcement Learning
by: Janwani, Neil, et al.
Published: (2025)
by: Janwani, Neil, et al.
Published: (2025)
Rating-based Reinforcement Learning
by: White, Devin, et al.
Published: (2023)
by: White, Devin, et al.
Published: (2023)
R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations
by: Mattson, Connor, et al.
Published: (2025)
by: Mattson, Connor, et al.
Published: (2025)
Crowd-PrefRL: Preference-Based Reward Learning from Crowds
by: Chhan, David, et al.
Published: (2024)
by: Chhan, David, et al.
Published: (2024)
Human-in-the-Loop Multi-Robot Information Gathering with Inverse Submodular Maximization
by: Shi, Guangyao, et al.
Published: (2024)
by: Shi, Guangyao, et al.
Published: (2024)
Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks
by: Joshi, Viraj, et al.
Published: (2025)
by: Joshi, Viraj, et al.
Published: (2025)
Materials Matter: Investigating Functional Advantages of Bio-Inspired Materials via Simulated Robotic Hopping
by: Schulz, Andrew K., et al.
Published: (2024)
by: Schulz, Andrew K., et al.
Published: (2024)
Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion
by: Tucker, Maegan, et al.
Published: (2023)
by: Tucker, Maegan, et al.
Published: (2023)
Learning Skateboarding for Humanoid Robots through Massively Parallel Reinforcement Learning
by: Thibault, William, et al.
Published: (2024)
by: Thibault, William, et al.
Published: (2024)
Differentiable Invariant Sets for Hybrid Limit Cycles with Application to Legged Robots
by: Madabushi, Varun, et al.
Published: (2026)
by: Madabushi, Varun, et al.
Published: (2026)
Web-Gewu: A Browser-Based Interactive Playground for Robot Reinforcement Learning
by: Chen, Kaixuan, et al.
Published: (2026)
by: Chen, Kaixuan, et al.
Published: (2026)
Kinodynamic Motion Retargeting for Humanoid Locomotion via Multi-Contact Whole-Body Trajectory Optimization
by: Zhang, Xiaoyu, et al.
Published: (2026)
by: Zhang, Xiaoyu, et al.
Published: (2026)
Unity RL Playground: A Versatile Reinforcement Learning Framework for Mobile Robots
by: Ye, Linqi, et al.
Published: (2025)
by: Ye, Linqi, et al.
Published: (2025)
Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm
by: Shek, Chak Lam, et al.
Published: (2025)
by: Shek, Chak Lam, et al.
Published: (2025)
A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions
by: Janwani, Neil C., et al.
Published: (2023)
by: Janwani, Neil C., et al.
Published: (2023)
Massive Parallel Deep Reinforcement Learning for Active SLAM
by: Llobera, Martín Arce, et al.
Published: (2026)
by: Llobera, Martín Arce, et al.
Published: (2026)
Going into Orbit: Massively Parallelizing Episodic Reinforcement Learning
by: Oberst, Jan, et al.
Published: (2024)
by: Oberst, Jan, et al.
Published: (2024)
Finite-Step Invariant Sets for Hybrid Systems with Probabilistic Guarantees
by: Madabushi, Varun, et al.
Published: (2026)
by: Madabushi, Varun, et al.
Published: (2026)
Scalable Multi-Objective Robot Reinforcement Learning through Gradient Conflict Resolution
by: Munn, Humphrey, et al.
Published: (2025)
by: Munn, Humphrey, et al.
Published: (2025)
ARC-RL: A Reinforcement Learning Playground Inspired by ARC Raiders
by: Romeo, Carlo, et al.
Published: (2026)
by: Romeo, Carlo, et al.
Published: (2026)
MuJoCo Playground
by: Zakka, Kevin, et al.
Published: (2025)
by: Zakka, Kevin, et al.
Published: (2025)
MO-SeGMan: Rearrangement Planning Framework for Multi Objective Sequential and Guided Manipulation in Constrained Environments
by: Tuncer, Cankut Bora, et al.
Published: (2025)
by: Tuncer, Cankut Bora, et al.
Published: (2025)
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
by: David Vernon
Published: (2025)
by: David Vernon
Published: (2025)
Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots
by: Kich, Victor Augusto, et al.
Published: (2024)
by: Kich, Victor Augusto, et al.
Published: (2024)
Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot
by: Avtges, James, et al.
Published: (2025)
by: Avtges, James, et al.
Published: (2025)
GS-Playground: A High-Throughput Photorealistic Simulator for Vision-Informed Robot Learning
by: Jia, Yufei, et al.
Published: (2026)
by: Jia, Yufei, et al.
Published: (2026)
Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach
by: Kim, Dohyeong, et al.
Published: (2024)
by: Kim, Dohyeong, et al.
Published: (2024)
Harnessing Discrete Differential Geometry: A Virtual Playground for the Bilayer Soft Robotics
by: Li, Jiahao, et al.
Published: (2025)
by: Li, Jiahao, et al.
Published: (2025)
LiPS: Large-Scale Humanoid Robot Reinforcement Learning with Parallel-Series Structures
by: Zhang, Qiang, et al.
Published: (2025)
by: Zhang, Qiang, et al.
Published: (2025)
AMOR: Adaptive Character Control through Multi-Objective Reinforcement Learning
by: Alegre, Lucas N., et al.
Published: (2025)
by: Alegre, Lucas N., et al.
Published: (2025)
Demonstration-Enhanced Adaptable Multi-Objective Robot Navigation
by: de Heuvel, Jorge, et al.
Published: (2024)
by: de Heuvel, Jorge, et al.
Published: (2024)
Learning Velocity-based Humanoid Locomotion: Massively Parallel Learning with Brax and MJX
by: Thibault, William, et al.
Published: (2024)
by: Thibault, William, et al.
Published: (2024)
Continuous Jumping of a Parallel Wire-Driven Monopedal Robot RAMIEL Using Reinforcement Learning
by: Kawaharazuka, Kento, et al.
Published: (2024)
by: Kawaharazuka, Kento, et al.
Published: (2024)
Multi-Objective Algorithms for Learning Open-Ended Robotic Problems
by: Robert, Martin, et al.
Published: (2024)
by: Robert, Martin, et al.
Published: (2024)
PCHC: Enabling Preference Conditioned Humanoid Control via Multi-Objective Reinforcement Learning
by: Li, Huanyu, et al.
Published: (2026)
by: Li, Huanyu, et al.
Published: (2026)
Human-Inspired Multi-Level Reinforcement Learning
by: Wu, Mingkang, et al.
Published: (2025)
by: Wu, Mingkang, et al.
Published: (2025)
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
by: Kanazawa, Takuya, et al.
Published: (2023)
by: Kanazawa, Takuya, et al.
Published: (2023)
RoboPlayground: Democratizing Robotic Evaluation through Structured Physical Domains
by: Wang, Yi Ru, et al.
Published: (2026)
by: Wang, Yi Ru, et al.
Published: (2026)
Kamino: GPU-based Massively Parallel Simulation of Multi-Body Systems with Challenging Topologies
by: Tsounis, Vassilios, et al.
Published: (2026)
by: Tsounis, Vassilios, et al.
Published: (2026)
Monotone Subsystem Decomposition for Efficient Multi-Objective Robot Design
by: Wilhelm, Andrew, et al.
Published: (2025)
by: Wilhelm, Andrew, et al.
Published: (2025)
Similar Items
-
NaviGait: Navigating Dynamically Feasible Gait Libraries using Deep Reinforcement Learning
by: Janwani, Neil, et al.
Published: (2025) -
Rating-based Reinforcement Learning
by: White, Devin, et al.
Published: (2023) -
R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations
by: Mattson, Connor, et al.
Published: (2025) -
Crowd-PrefRL: Preference-Based Reward Learning from Crowds
by: Chhan, David, et al.
Published: (2024) -
Human-in-the-Loop Multi-Robot Information Gathering with Inverse Submodular Maximization
by: Shi, Guangyao, et al.
Published: (2024)