Cover Image

Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vasan, Gautham, Wang, Yan, Shahriar, Fahim, Bergstra, James, Jagersand, Martin, Mahmood, A. Rupam
Format:	Preprint
Published:	2024
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Versatile and Generalizable Manipulation via Goal-Conditioned Reinforcement Learning with Grounded Object Detection
by: Wang, Huiyi, et al.
Published: (2025)

General and Efficient Visual Goal-Conditioned Reinforcement Learning using Object-Agnostic Masks
by: Shahriar, Fahim, et al.
Published: (2025)

Efficient Reinforcement Learning by Reducing Forgetting with Elephant Activation Functions
by: Lan, Qingfeng, et al.
Published: (2025)

Streaming Deep Reinforcement Learning Finally Works
by: Elsayed, Mohamed, et al.
Published: (2024)

Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
by: Vasan, Gautham, et al.
Published: (2024)

Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
by: Chan, Bryan, et al.
Published: (2024)

On-Robot Reinforcement Learning with Goal-Contrastive Rewards
by: Biza, Ondrej, et al.
Published: (2024)

Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning
by: Giammarino, Vittorio, et al.
Published: (2025)

Deep Probabilistic Movement Primitives with a Bayesian Aggregator
by: Przystupa, Michael, et al.
Published: (2023)

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
by: Venugopal, Aravind, et al.
Published: (2026)

Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance
by: Huang, RenMing, et al.
Published: (2024)

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
by: Yunis, David, et al.
Published: (2023)

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
by: Diaz-Bone, Leander, et al.
Published: (2025)

Synchronous vs Asynchronous Reinforcement Learning in a Real World Robot
by: Parsaee, Ali, et al.
Published: (2025)

Equivariant Goal Conditioned Contrastive Reinforcement Learning
by: Tangri, Arsh, et al.
Published: (2025)

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning
by: Park, Junseok, et al.
Published: (2025)

Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning
by: Zheng, Bill Chunyuan, et al.
Published: (2025)

Generalization in Deep Reinforcement Learning for Robotic Navigation by Reward Shaping
by: Miranda, Victor R. F., et al.
Published: (2022)

Curriculum Reinforcement Learning for Complex Reward Functions
by: Freitag, Kilian, et al.
Published: (2024)

RoboBallet: Planning for Multi-Robot Reaching with Graph Neural Networks and Reinforcement Learning
by: Lai, Matthew, et al.
Published: (2025)

Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
by: Elsayed, Mohamed, et al.
Published: (2024)

Reward-Punishment Reinforcement Learning with Maximum Entropy
by: Wang, Jiexin, et al.
Published: (2024)

Solving Minimum-Cost Reach Avoid using Reinforcement Learning
by: So, Oswin, et al.
Published: (2024)

Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning
by: Feng, Meng, et al.
Published: (2025)

Constraints as Rewards: Reinforcement Learning for Robots without Reward Functions
by: Ishihara, Yu, et al.
Published: (2025)

ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control
by: Futuhi, Ehsan, et al.
Published: (2024)

Residual Reward Models for Preference-based Reinforcement Learning
by: Cao, Chenyang, et al.
Published: (2025)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)

Enabling Option Learning in Sparse Rewards with Hindsight Experience Replay
by: Romio, Gabriel, et al.
Published: (2026)

Average-Reward Maximum Entropy Reinforcement Learning for Underactuated Double Pendulum Tasks
by: Choe, Jean Seong Bjorn, et al.
Published: (2024)

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
by: Cao, Chenyang, et al.
Published: (2024)

Learning to Optimize for Reinforcement Learning
by: Lan, Qingfeng, et al.
Published: (2023)

Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios
by: Clark, Emma, et al.
Published: (2024)

TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments
by: Hossain, Jumman, et al.
Published: (2024)

Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
by: Patel, Bhrij, et al.
Published: (2023)

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)

REBEL: Reward Regularization-Based Approach for Robotic Reinforcement Learning from Human Feedback
by: Chakraborty, Souradip, et al.
Published: (2023)

Decoupling Task and Behavior: A Two-Stage Reward Curriculum in Reinforcement Learning for Robotics
by: Freitag, Kilian, et al.
Published: (2026)

Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
by: Duan, Yuanlin, et al.
Published: (2024)

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
by: Guo, Yihong, et al.
Published: (2024)