Saved in:
| Main Authors: | Lee, Sebastian, Liebana, Samuel, Clopath, Claudia, Dabney, Will |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.08446 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncertainty Prioritized Experience Replay
by: Carrasco-Davis, Rodrigo, et al.
Published: (2025)
by: Carrasco-Davis, Rodrigo, et al.
Published: (2025)
Relational reasoning and inductive bias in transformers and large language models
by: Geerts, Jesse, et al.
Published: (2025)
by: Geerts, Jesse, et al.
Published: (2025)
Neuromodulated Meta-Learning
by: Wang, Jingyao, et al.
Published: (2024)
by: Wang, Jingyao, et al.
Published: (2024)
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
by: Rowland, Mark, et al.
Published: (2024)
by: Rowland, Mark, et al.
Published: (2024)
Statistical Context Detection for Deep Lifelong Reinforcement Learning
by: Dick, Jeffery, et al.
Published: (2024)
by: Dick, Jeffery, et al.
Published: (2024)
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
by: Chen, Letian, et al.
Published: (2022)
by: Chen, Letian, et al.
Published: (2022)
CHIRPs: Change-Induced Regret Proxy metrics for Lifelong Reinforcement Learning
by: Birkbeck, John, et al.
Published: (2024)
by: Birkbeck, John, et al.
Published: (2024)
Lifelong Reinforcement Learning with Similarity-Driven Weighting by Large Models
by: Huang, Zhiyi, et al.
Published: (2025)
by: Huang, Zhiyi, et al.
Published: (2025)
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
by: Muppidi, Aneesh, et al.
Published: (2024)
by: Muppidi, Aneesh, et al.
Published: (2024)
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning
by: Xu, Linjie, et al.
Published: (2024)
by: Xu, Linjie, et al.
Published: (2024)
Privacy-Aware Lifelong Learning
by: Özdenizci, Ozan, et al.
Published: (2025)
by: Özdenizci, Ozan, et al.
Published: (2025)
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
by: Khetarpal, Khimya, et al.
Published: (2024)
by: Khetarpal, Khimya, et al.
Published: (2024)
Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments
by: Beukman, Michael, et al.
Published: (2026)
by: Beukman, Michael, et al.
Published: (2026)
JSON-Bag: A generic game trajectory representation
by: Nguyen, Dien, et al.
Published: (2025)
by: Nguyen, Dien, et al.
Published: (2025)
Lifelong Graph Learning for Graph Summarization
by: Frank, Jonatan, et al.
Published: (2024)
by: Frank, Jonatan, et al.
Published: (2024)
Off-policy Distributional Q($λ$): Distributional RL without Importance Sampling
by: Tang, Yunhao, et al.
Published: (2024)
by: Tang, Yunhao, et al.
Published: (2024)
Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
by: Lee, Yu-Ting, et al.
Published: (2026)
by: Lee, Yu-Ting, et al.
Published: (2026)
Neuro-Logic Lifelong Learning
by: He, Bowen, et al.
Published: (2025)
by: He, Bowen, et al.
Published: (2025)
Simple Lifelong Learning Machines
by: Dey, Jayanta, et al.
Published: (2020)
by: Dey, Jayanta, et al.
Published: (2020)
Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure
by: Wang, Zhi, et al.
Published: (2025)
by: Wang, Zhi, et al.
Published: (2025)
Care-Conditioned Neuromodulation for Autonomy-Preserving Supportive Dialogue Agents
by: Manir, Shalima Binta, et al.
Published: (2026)
by: Manir, Shalima Binta, et al.
Published: (2026)
A Differential Perspective on Distributional Reinforcement Learning
by: Rojas, Juan Sebastian, et al.
Published: (2025)
by: Rojas, Juan Sebastian, et al.
Published: (2025)
Resolving Conflicts in Lifelong Learning via Aligning Updates in Subspaces
by: Zhou, Yueer, et al.
Published: (2025)
by: Zhou, Yueer, et al.
Published: (2025)
U-TELL: Unsupervised Task Expert Lifelong Learning
by: Solomon, Indu, et al.
Published: (2024)
by: Solomon, Indu, et al.
Published: (2024)
Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces
by: Du, Jiayuan, et al.
Published: (2026)
by: Du, Jiayuan, et al.
Published: (2026)
Eliciting Risk Aversion with Inverse Reinforcement Learning via Interactive Questioning
by: Cheng, Ziteng, et al.
Published: (2023)
by: Cheng, Ziteng, et al.
Published: (2023)
Deep Reinforcement Learning and The Tale of Two Temporal Difference Errors
by: Rojas, Juan Sebastian, et al.
Published: (2026)
by: Rojas, Juan Sebastian, et al.
Published: (2026)
Lifelong Learning with Behavior Consolidation for Vehicle Routing
by: Pei, Jiyuan, et al.
Published: (2025)
by: Pei, Jiyuan, et al.
Published: (2025)
An Analysis of Quantile Temporal-Difference Learning
by: Rowland, Mark, et al.
Published: (2023)
by: Rowland, Mark, et al.
Published: (2023)
SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning
by: Roy, Kaushik, et al.
Published: (2026)
by: Roy, Kaushik, et al.
Published: (2026)
T2S: Tokenized Skill Scaling for Lifelong Imitation Learning
by: Zhang, Hongquan, et al.
Published: (2025)
by: Zhang, Hongquan, et al.
Published: (2025)
ELLA: Efficient Lifelong Learning for Adapters in Large Language Models
by: Biswas, Shristi Das, et al.
Published: (2026)
by: Biswas, Shristi Das, et al.
Published: (2026)
Efficient Lifelong Model Evaluation in an Era of Rapid Progress
by: Prabhu, Ameya, et al.
Published: (2024)
by: Prabhu, Ameya, et al.
Published: (2024)
ELEMENT: Episodic and Lifelong Exploration via Maximum Entropy
by: Li, Hongming, et al.
Published: (2024)
by: Li, Hongming, et al.
Published: (2024)
Beyond Mimicry: Toward Lifelong Adaptability in Imitation Learning
by: Gavenski, Nathan, et al.
Published: (2026)
by: Gavenski, Nathan, et al.
Published: (2026)
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
by: Liu, Boyi, et al.
Published: (2019)
by: Liu, Boyi, et al.
Published: (2019)
Reinforcement Learning for Flow-Matching Policies
by: Pfrommer, Samuel, et al.
Published: (2025)
by: Pfrommer, Samuel, et al.
Published: (2025)
Disentangling the Causes of Plasticity Loss in Neural Networks
by: Lyle, Clare, et al.
Published: (2024)
by: Lyle, Clare, et al.
Published: (2024)
Plasticity Loss in Deep Reinforcement Learning: A Survey
by: Klein, Timo, et al.
Published: (2024)
by: Klein, Timo, et al.
Published: (2024)
An Efficient Variant of One-Class SVM with Lifelong Online Learning Guarantees
by: Suk, Joe, et al.
Published: (2025)
by: Suk, Joe, et al.
Published: (2025)
Similar Items
-
Uncertainty Prioritized Experience Replay
by: Carrasco-Davis, Rodrigo, et al.
Published: (2025) -
Relational reasoning and inductive bias in transformers and large language models
by: Geerts, Jesse, et al.
Published: (2025) -
Neuromodulated Meta-Learning
by: Wang, Jingyao, et al.
Published: (2024) -
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
by: Rowland, Mark, et al.
Published: (2024) -
Statistical Context Detection for Deep Lifelong Reinforcement Learning
by: Dick, Jeffery, et al.
Published: (2024)