Efficient Reinforcement Learning by Reducing Forgetting with Elephant Activation Functions
Fuente:
arXiv
Saved in:
| Main Authors: | Lan, Qingfeng, Vasan, Gautham, Mahmood, A. Rupam |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Streaming Deep Reinforcement Learning Finally Works
by: Elsayed, Mohamed, et al.
Published: (2024)
by: Elsayed, Mohamed, et al.
Published: (2024)
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
by: Vasan, Gautham, et al.
Published: (2024)
by: Vasan, Gautham, et al.
Published: (2024)
Learning to Optimize for Reinforcement Learning
by: Lan, Qingfeng, et al.
Published: (2023)
by: Lan, Qingfeng, et al.
Published: (2023)
Weight Clipping for Deep Continual and Reinforcement Learning
by: Elsayed, Mohamed, et al.
Published: (2024)
by: Elsayed, Mohamed, et al.
Published: (2024)
General and Efficient Visual Goal-Conditioned Reinforcement Learning using Object-Agnostic Masks
by: Shahriar, Fahim, et al.
Published: (2025)
by: Shahriar, Fahim, et al.
Published: (2025)
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
by: Elsayed, Mohamed, et al.
Published: (2024)
by: Elsayed, Mohamed, et al.
Published: (2024)
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
by: Ishfaq, Haque, et al.
Published: (2023)
by: Ishfaq, Haque, et al.
Published: (2023)
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling
by: Ishfaq, Haque, et al.
Published: (2024)
by: Ishfaq, Haque, et al.
Published: (2024)
Learning Without Time-Based Embodiment Resets in Soft-Actor Critic
by: Farrahi, Homayoon, et al.
Published: (2025)
by: Farrahi, Homayoon, et al.
Published: (2025)
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
by: Vasan, Gautham, et al.
Published: (2024)
by: Vasan, Gautham, et al.
Published: (2024)
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
by: Elsayed, Mohamed, et al.
Published: (2024)
by: Elsayed, Mohamed, et al.
Published: (2024)
Intentional Updates for Streaming Reinforcement Learning
by: Sharifnassab, Arsalan, et al.
Published: (2026)
by: Sharifnassab, Arsalan, et al.
Published: (2026)
Versatile and Generalizable Manipulation via Goal-Conditioned Reinforcement Learning with Grounded Object Detection
by: Wang, Huiyi, et al.
Published: (2025)
by: Wang, Huiyi, et al.
Published: (2025)
Don't Forget the Nonlinearity: Unlocking Activation Functions in Efficient Fine-Tuning
by: Yin, Bo, et al.
Published: (2025)
by: Yin, Bo, et al.
Published: (2025)
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
by: Bordt, Sebastian, et al.
Published: (2024)
by: Bordt, Sebastian, et al.
Published: (2024)
Distributions as Actions: A Unified Framework for Diverse Action Spaces
by: He, Jiamin, et al.
Published: (2025)
by: He, Jiamin, et al.
Published: (2025)
Elephants Never Forget: Testing Language Models for Memorization of Tabular Data
by: Bordt, Sebastian, et al.
Published: (2024)
by: Bordt, Sebastian, et al.
Published: (2024)
Average-DICE: Stationary Distribution Correction by Regression
by: Che, Fengdi, et al.
Published: (2025)
by: Che, Fengdi, et al.
Published: (2025)
Maintaining Plasticity in Deep Continual Learning
by: Dohare, Shibhansh, et al.
Published: (2023)
by: Dohare, Shibhansh, et al.
Published: (2023)
Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
by: Ren, Weijieying, et al.
Published: (2024)
by: Ren, Weijieying, et al.
Published: (2024)
RL's Razor: Why Online Reinforcement Learning Forgets Less
by: Shenfeld, Idan, et al.
Published: (2025)
by: Shenfeld, Idan, et al.
Published: (2025)
Eidetic Learning: an Efficient and Provable Solution to Catastrophic Forgetting
by: Dronen, Nicholas, et al.
Published: (2025)
by: Dronen, Nicholas, et al.
Published: (2025)
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning
by: Bekal, Gautham Udayakumar, et al.
Published: (2025)
by: Bekal, Gautham Udayakumar, et al.
Published: (2025)
Task Scheduling & Forgetting in Multi-Task Reinforcement Learning
by: Speckmann, Marc, et al.
Published: (2025)
by: Speckmann, Marc, et al.
Published: (2025)
A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
by: Kang, Zilin, et al.
Published: (2025)
by: Kang, Zilin, et al.
Published: (2025)
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
by: Wołczyk, Maciej, et al.
Published: (2024)
by: Wołczyk, Maciej, et al.
Published: (2024)
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
by: Serra, Giuseppe, et al.
Published: (2024)
by: Serra, Giuseppe, et al.
Published: (2024)
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents
by: Gong, Chen, et al.
Published: (2024)
by: Gong, Chen, et al.
Published: (2024)
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
by: Che, Fengdi, et al.
Published: (2024)
by: Che, Fengdi, et al.
Published: (2024)
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation
by: Li, Long-Fei, et al.
Published: (2024)
by: Li, Long-Fei, et al.
Published: (2024)
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning
by: Mavor-Parker, Augustine N., et al.
Published: (2024)
by: Mavor-Parker, Augustine N., et al.
Published: (2024)
Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoring
by: Brickson, Leandra, et al.
Published: (2023)
by: Brickson, Leandra, et al.
Published: (2023)
Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning
by: Xia, Yanming, et al.
Published: (2026)
by: Xia, Yanming, et al.
Published: (2026)
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers
by: Runwal, Bharat, et al.
Published: (2024)
by: Runwal, Bharat, et al.
Published: (2024)
Continual Learning with Query-Only Attention
by: Bekal, Gautham, et al.
Published: (2025)
by: Bekal, Gautham, et al.
Published: (2025)
Fisher-Guided Selective Forgetting: Mitigating The Primacy Bias in Deep Reinforcement Learning
by: Falzari, Massimiliano, et al.
Published: (2025)
by: Falzari, Massimiliano, et al.
Published: (2025)
Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning
by: Tiwari, Anushka, et al.
Published: (2026)
by: Tiwari, Anushka, et al.
Published: (2026)
Forget Forgetting: Continual Learning in a World of Abundant Memory
by: Cho, Dongkyu, et al.
Published: (2025)
by: Cho, Dongkyu, et al.
Published: (2025)
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning
by: Lopez, Antonio, et al.
Published: (2024)
by: Lopez, Antonio, et al.
Published: (2024)
Variance-Reduced $(\varepsilon,δ)-$Unlearning using Forget Set Gradients
by: Van Waerebeke, Martin, et al.
Published: (2026)
by: Van Waerebeke, Martin, et al.
Published: (2026)
Similar Items
-
Streaming Deep Reinforcement Learning Finally Works
by: Elsayed, Mohamed, et al.
Published: (2024) -
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
by: Vasan, Gautham, et al.
Published: (2024) -
Learning to Optimize for Reinforcement Learning
by: Lan, Qingfeng, et al.
Published: (2023) -
Weight Clipping for Deep Continual and Reinforcement Learning
by: Elsayed, Mohamed, et al.
Published: (2024) -
General and Efficient Visual Goal-Conditioned Reinforcement Learning using Object-Agnostic Masks
by: Shahriar, Fahim, et al.
Published: (2025)