Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Obando-Ceron, Johan, Mayor, Walter, Lavoie, Samuel, Fujimoto, Scott, Courville, Aaron, Castro, Pablo Samuel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks
by: Mayor, Walter, et al.
Published: (2025)
by: Mayor, Walter, et al.
Published: (2025)
In value-based deep reinforcement learning, a pruned network is a good network
by: Obando-Ceron, Johan, et al.
Published: (2024)
by: Obando-Ceron, Johan, et al.
Published: (2024)
On the consistency of hyper-parameter selection in value-based deep reinforcement learning
by: Obando-Ceron, Johan, et al.
Published: (2024)
by: Obando-Ceron, Johan, et al.
Published: (2024)
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
by: Sokar, Ghada, et al.
Published: (2024)
by: Sokar, Ghada, et al.
Published: (2024)
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
by: Tang, Hongyao, et al.
Published: (2025)
by: Tang, Hongyao, et al.
Published: (2025)
Stable Deep Reinforcement Learning via Isotropic Gaussian Representations
by: Pasand, Ali Saheb, et al.
Published: (2026)
by: Pasand, Ali Saheb, et al.
Published: (2026)
A Mechanistic Analysis of Looped Reasoning Language Models
by: Blayney, Hugh, et al.
Published: (2026)
by: Blayney, Hugh, et al.
Published: (2026)
Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models
by: Lavoie, Samuel, et al.
Published: (2025)
by: Lavoie, Samuel, et al.
Published: (2025)
Adaptive Computation Pruning for the Forgetting Transformer
by: Lin, Zhixuan, et al.
Published: (2025)
by: Lin, Zhixuan, et al.
Published: (2025)
Relational Object-Centric Actor-Critic
by: Ugadiarov, Leonid, et al.
Published: (2023)
by: Ugadiarov, Leonid, et al.
Published: (2023)
Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning
by: Liu, Jiashun, et al.
Published: (2025)
by: Liu, Jiashun, et al.
Published: (2025)
Mixture of Experts in a Mixture of RL settings
by: Willi, Timon, et al.
Published: (2024)
by: Willi, Timon, et al.
Published: (2024)
Offline Actor-Critic Reinforcement Learning Scales to Large Models
by: Springenberg, Jost Tobias, et al.
Published: (2024)
by: Springenberg, Jost Tobias, et al.
Published: (2024)
Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion
by: Sabatini, Gianluca, et al.
Published: (2026)
by: Sabatini, Gianluca, et al.
Published: (2026)
Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences
by: Singh, Nikhil Kumar, et al.
Published: (2024)
by: Singh, Nikhil Kumar, et al.
Published: (2024)
Reinforcement Learning Position Control of a Quadrotor Using Soft Actor-Critic (SAC)
by: Mahran, Youssef, et al.
Published: (2025)
by: Mahran, Youssef, et al.
Published: (2025)
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
by: Zhou, Wenxuan, et al.
Published: (2023)
by: Zhou, Wenxuan, et al.
Published: (2023)
The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning
by: Liu, Jiashun, et al.
Published: (2025)
by: Liu, Jiashun, et al.
Published: (2025)
Align and Filter: Improving Performance in Asynchronous On-Policy RL
by: Honari, Homayoun, et al.
Published: (2026)
by: Honari, Homayoun, et al.
Published: (2026)
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
by: Garcin, Samuel, et al.
Published: (2025)
by: Garcin, Samuel, et al.
Published: (2025)
Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios
by: Zhang, Feihong, et al.
Published: (2025)
by: Zhang, Feihong, et al.
Published: (2025)
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
by: Nakanishi, Kosuke, et al.
Published: (2025)
by: Nakanishi, Kosuke, et al.
Published: (2025)
A Safety Modulator Actor-Critic Method in Model-Free Safe Reinforcement Learning and Application in UAV Hovering
by: Qi, Qihan, et al.
Published: (2024)
by: Qi, Qihan, et al.
Published: (2024)
Imitation Learning from Observation through Optimal Transport
by: Chang, Wei-Di, et al.
Published: (2023)
by: Chang, Wei-Di, et al.
Published: (2023)
AI Olympics challenge with Evolutionary Soft Actor Critic
by: Calì, Marco, et al.
Published: (2024)
by: Calì, Marco, et al.
Published: (2024)
A Comedy of Estimators: On KL Regularization in RL Training of LLMs
by: Shah, Vedant, et al.
Published: (2025)
by: Shah, Vedant, et al.
Published: (2025)
Actor-Critics Can Achieve Optimal Sample Efficiency
by: Tan, Kevin, et al.
Published: (2025)
by: Tan, Kevin, et al.
Published: (2025)
MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control
by: Zhang, Yongwei, et al.
Published: (2025)
by: Zhang, Yongwei, et al.
Published: (2025)
GenRL: Multimodal-foundation world models for generalization in embodied agents
by: Mazzaglia, Pietro, et al.
Published: (2024)
by: Mazzaglia, Pietro, et al.
Published: (2024)
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)
Scaling Algorithm Distillation for Continuous Control with Mamba
by: Beaussant, Samuel, et al.
Published: (2025)
by: Beaussant, Samuel, et al.
Published: (2025)
Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
by: Tao, Stone, et al.
Published: (2024)
by: Tao, Stone, et al.
Published: (2024)
Toward Accurate Long-Horizon Robotic Manipulation: Language-to-Action with Foundation Models via Scene Graphs
by: Dinesh, Sushil Samuel, et al.
Published: (2025)
by: Dinesh, Sushil Samuel, et al.
Published: (2025)
Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
by: Liu, Jiashun, et al.
Published: (2025)
by: Liu, Jiashun, et al.
Published: (2025)
MAGICS: Adversarial RL with Minimax Actors Guided by Implicit Critic Stackelberg for Convergent Neural Synthesis of Robot Safety
by: Wang, Justin, et al.
Published: (2024)
by: Wang, Justin, et al.
Published: (2024)
Actor-Free Continuous Control via Structurally Maximizable Q-Functions
by: Korkmaz, Yigit, et al.
Published: (2025)
by: Korkmaz, Yigit, et al.
Published: (2025)
RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models
by: Chen, Liangliang, et al.
Published: (2024)
by: Chen, Liangliang, et al.
Published: (2024)
World Modelling Improves Language Model Agents
by: Guo, Shangmin, et al.
Published: (2025)
by: Guo, Shangmin, et al.
Published: (2025)
EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control
by: Evers, Thomas, et al.
Published: (2026)
by: Evers, Thomas, et al.
Published: (2026)
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents
by: Shukla, Yash, et al.
Published: (2024)
by: Shukla, Yash, et al.
Published: (2024)
Similar Items
-
The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks
by: Mayor, Walter, et al.
Published: (2025) -
In value-based deep reinforcement learning, a pruned network is a good network
by: Obando-Ceron, Johan, et al.
Published: (2024) -
On the consistency of hyper-parameter selection in value-based deep reinforcement learning
by: Obando-Ceron, Johan, et al.
Published: (2024) -
Don't flatten, tokenize! Unlocking the key to SoftMoE's efficacy in deep RL
by: Sokar, Ghada, et al.
Published: (2024) -
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
by: Tang, Hongyao, et al.
Published: (2025)