Deep RL just shattered its depth limit: 1000-layer networks now deliver 2-50x gains in self-supervised locomotion & manipulation, with #DeepRL #ReinforcementLearning #AIResearch #MachineLearning
https://freegardner.com/synapse/deep-rl-depth-scaling-breakthrough.html
https://freegardner.com/synapse/deep-rl-depth-scaling-breakthrough.html
Deep RL depth scaling breakthrough
Deep RL depth scaling breakthrough
freegardner.com
October 6, 2026 at 5:50 PM
Deep RL just shattered its depth limit: 1000-layer networks now deliver 2-50x gains in self-supervised locomotion & manipulation, with #DeepRL #ReinforcementLearning #AIResearch #MachineLearning
https://freegardner.com/synapse/deep-rl-depth-scaling-breakthrough.html
https://freegardner.com/synapse/deep-rl-depth-scaling-breakthrough.html
Reinforcement Learning: An Intro — Free PDF + Official Code!
#BigData #Analytics #DataScience #AI #MachineLearning #ReinforcementLearning #RL #DeepRL #PyTorch #Python #RStats #TensorFlow #JavaScript #CloudComputing
Amazon: geni.us/RL-ML-Comput...
Free Book: incompleteideas.net/book/the-boo...
#BigData #Analytics #DataScience #AI #MachineLearning #ReinforcementLearning #RL #DeepRL #PyTorch #Python #RStats #TensorFlow #JavaScript #CloudComputing
Amazon: geni.us/RL-ML-Comput...
Free Book: incompleteideas.net/book/the-boo...
August 13, 2026 at 3:00 PM
Reinforcement Learning: An Intro — Free PDF + Official Code!
#BigData #Analytics #DataScience #AI #MachineLearning #ReinforcementLearning #RL #DeepRL #PyTorch #Python #RStats #TensorFlow #JavaScript #CloudComputing
Amazon: geni.us/RL-ML-Comput...
Free Book: incompleteideas.net/book/the-boo...
#BigData #Analytics #DataScience #AI #MachineLearning #ReinforcementLearning #RL #DeepRL #PyTorch #Python #RStats #TensorFlow #JavaScript #CloudComputing
Amazon: geni.us/RL-ML-Comput...
Free Book: incompleteideas.net/book/the-boo...
Mehdi Heydari Shahna, Seyed Adel Alizadeh Kolagar, Jouni Mattila
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks
https://arxiv.org/abs/2402.02551
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks
https://arxiv.org/abs/2402.02551
May 16, 2024 at 4:04 AM
Mehdi Heydari Shahna, Seyed Adel Alizadeh Kolagar, Jouni Mattila
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks
https://arxiv.org/abs/2402.02551
Integrating DeepRL with Robust Low-Level Control in Robotic Manipulators for Non-Repetitive Reaching Tasks
https://arxiv.org/abs/2402.02551
QECO A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) f...
https://www.libhunt.com/r/QECO
Event Attributes
https://www.libhunt.com/r/QECO
Event Attributes
QECO Alternatives and Reviews
Which is the best alternative to QECO? Based on common mentions it is: Autonomous-learning-library, minimalRL, DeepRL-TensorFlow2 or Pytorch-learn-reinforcement-learning
www.libhunt.com
January 6, 2025 at 6:01 PM
QECO A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) f...
https://www.libhunt.com/r/QECO
Event Attributes
https://www.libhunt.com/r/QECO
Event Attributes
QECO A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mob...
https://www.libhunt.com/r/QECO
Event Attributes
https://www.libhunt.com/r/QECO
Event Attributes
QECO Alternatives and Reviews
Which is the best alternative to QECO? Based on common mentions it is: Autonomous-learning-library, minimalRL, DeepRL-TensorFlow2 or Pytorch-learn-reinforcement-learning
www.libhunt.com
January 6, 2025 at 1:18 AM
QECO A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mob...
https://www.libhunt.com/r/QECO
Event Attributes
https://www.libhunt.com/r/QECO
Event Attributes
🔍 The History of Reinforcement Learning (Updated for 2025)
From Thorndike’s cat puzzle box 🐱📦 to DeepMind’s AlphaGo 🤖🏆 to DeepSeek-R1 —how did RL become a key AI breakthrough?
📖 Read the full history:
👉 researchdatapod.com/history-rein...
#AI #ReinforcementLearning #DeepSeek #DeepRL #history
From Thorndike’s cat puzzle box 🐱📦 to DeepMind’s AlphaGo 🤖🏆 to DeepSeek-R1 —how did RL become a key AI breakthrough?
📖 Read the full history:
👉 researchdatapod.com/history-rein...
#AI #ReinforcementLearning #DeepSeek #DeepRL #history
a person is playing a game of go on a table
ALT: a person is playing a game of go on a table
media.tenor.com
January 31, 2025 at 11:27 PM
🔍 The History of Reinforcement Learning (Updated for 2025)
From Thorndike’s cat puzzle box 🐱📦 to DeepMind’s AlphaGo 🤖🏆 to DeepSeek-R1 —how did RL become a key AI breakthrough?
📖 Read the full history:
👉 researchdatapod.com/history-rein...
#AI #ReinforcementLearning #DeepSeek #DeepRL #history
From Thorndike’s cat puzzle box 🐱📦 to DeepMind’s AlphaGo 🤖🏆 to DeepSeek-R1 —how did RL become a key AI breakthrough?
📖 Read the full history:
👉 researchdatapod.com/history-rein...
#AI #ReinforcementLearning #DeepSeek #DeepRL #history
Now that #CreativeProblemSolving is in the limelight, our AIGenC model (🖋️@corinacatarau1 @EAlonso20) may interest you.
Compatible with heat.
https://arxiv.org/abs/2205.09738
#creativity #generalisation #deeprl #ai #reinforcementlearning #HierarchicalRepresentations, #graphs...
Compatible with heat.
https://arxiv.org/abs/2205.09738
#creativity #generalisation #deeprl #ai #reinforcementlearning #HierarchicalRepresentations, #graphs...
April 9, 2025 at 6:01 AM
Now that #CreativeProblemSolving is in the limelight, our AIGenC model (🖋️@corinacatarau1 @EAlonso20) may interest you.
Compatible with heat.
https://arxiv.org/abs/2205.09738
#creativity #generalisation #deeprl #ai #reinforcementlearning #HierarchicalRepresentations, #graphs...
Compatible with heat.
https://arxiv.org/abs/2205.09738
#creativity #generalisation #deeprl #ai #reinforcementlearning #HierarchicalRepresentations, #graphs...
Now that #CreativeProblemSolving is in the limelight, our AIGenC model (🖋️@corinacatarau1 @EAlonso20) may interest you.
Compatible with heat.
#creativity #generalisation #deeprl #ai #reinforcementlearning #HierarchicalRepresentations, #graphs #transfer
arxiv.org/abs/2205.09738
Compatible with heat.
#creativity #generalisation #deeprl #ai #reinforcementlearning #HierarchicalRepresentations, #graphs #transfer
arxiv.org/abs/2205.09738
November 23, 2024 at 11:38 PM
Now that #CreativeProblemSolving is in the limelight, our AIGenC model (🖋️@corinacatarau1 @EAlonso20) may interest you.
Compatible with heat.
#creativity #generalisation #deeprl #ai #reinforcementlearning #HierarchicalRepresentations, #graphs #transfer
arxiv.org/abs/2205.09738
Compatible with heat.
#creativity #generalisation #deeprl #ai #reinforcementlearning #HierarchicalRepresentations, #graphs #transfer
arxiv.org/abs/2205.09738
new toy: DeepRL
February 25, 2025 at 6:33 PM
new toy: DeepRL
Being unable to scale #DeepRL to solve diverse, complex tasks with large distribution changes has been holding back the #RL community. In this work, we demonstrate that with the right architecture and optimization adjustments, agents can maintain plasticity for large networks.
🚨 Excited to share our new work: "Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning"! 📈
We propose gradient interventions that enable stable, scalable learning, unlocking significant performance gains across agents and environments!
Details below 👇
We propose gradient interventions that enable stable, scalable learning, unlocking significant performance gains across agents and environments!
Details below 👇
June 24, 2025 at 1:01 AM
The first lecture touches upon the challenges of defining and measuring generalization, emphasizing the need for a clearer understanding of what it means for a robot to truly generalize its knowledge and skills.
youtu.be/1ZuvCWvj0HM
youtu.be/1ZuvCWvj0HM
Robot Learning 2025: Foundational Models for Robotics and Scaling DeepRL
YouTube video by Montreal Robotics
youtu.be
January 19, 2025 at 7:18 PM
The first lecture touches upon the challenges of defining and measuring generalization, emphasizing the need for a clearer understanding of what it means for a robot to truly generalize its knowledge and skills.
youtu.be/1ZuvCWvj0HM
youtu.be/1ZuvCWvj0HM
I am teaching a class on #FoundationalModels for #robotics and Scaling #DeepRL algorithms. This class expands on last year's class and my generalist robotics policies tutorial and code. I plan to share the lectures and code assignments. Starting with the first lectures below.
January 19, 2025 at 7:14 PM
I am teaching a class on #FoundationalModels for #robotics and Scaling #DeepRL algorithms. This class expands on last year's class and my generalist robotics policies tutorial and code. I plan to share the lectures and code assignments. Starting with the first lectures below.
This is a good research question. It is not entirely clear, but this may be part of why DeepRL struggles to perform well in more interesting and diverse environments (Minecraft, the real world): the similarity between the state distributions during training can be more extensive.
January 10, 2025 at 4:04 PM
This is a good research question. It is not entirely clear, but this may be part of why DeepRL struggles to perform well in more interesting and diverse environments (Minecraft, the real world): the similarity between the state distributions during training can be more extensive.
Dormant neurons are related, but not the full picture. There are recent papers from UofA on getting streaming RL working, and papers on scaling deepRL to show that there are capacity challenges and optimization challenges.
January 10, 2025 at 4:02 PM
Dormant neurons are related, but not the full picture. There are recent papers from UofA on getting streaming RL working, and papers on scaling deepRL to show that there are capacity challenges and optimization challenges.
#NeurIPS2024 wrapped up last week. I put together a curated reading list for #DeepRL and #reinforcementlearning work. (represents my interests).
Talks and workshops:
third-crowd-c77.notion.site/NeurIPS2024-...
Curated reading list
fracturedplane.notion.site/NeurIPS2024-...
#Holidayreading
Talks and workshops:
third-crowd-c77.notion.site/NeurIPS2024-...
Curated reading list
fracturedplane.notion.site/NeurIPS2024-...
#Holidayreading
NeurIPS2024 Related RL papers | Notion
Deep RL papers
fracturedplane.notion.site
December 23, 2024 at 7:38 PM
#NeurIPS2024 wrapped up last week. I put together a curated reading list for #DeepRL and #reinforcementlearning work. (represents my interests).
Talks and workshops:
third-crowd-c77.notion.site/NeurIPS2024-...
Curated reading list
fracturedplane.notion.site/NeurIPS2024-...
#Holidayreading
Talks and workshops:
third-crowd-c77.notion.site/NeurIPS2024-...
Curated reading list
fracturedplane.notion.site/NeurIPS2024-...
#Holidayreading
We show that reducing churn by regularizing out-of-batch data reduces these chain effects and results in improved sample efficiency and scaling. #deepRL #reinforcementlearning
December 11, 2024 at 5:35 PM
We show that reducing churn by regularizing out-of-batch data reduces these chain effects and results in improved sample efficiency and scaling. #deepRL #reinforcementlearning
Training #deepRL agents has always been a tricky and unstable process. What is the cause of these instabilities? We study the coupling effects of policy training and value estimation and find a chain effect of the value and policy churn in popular DRL agents.
December 11, 2024 at 5:34 PM
Training #deepRL agents has always been a tricky and unstable process. What is the cause of these instabilities? We study the coupling effects of policy training and value estimation and find a chain effect of the value and policy churn in popular DRL agents.
I am accepting new students to the lab to work on scaling DeepRL algorithms, making generalist robotics models, and ML 4 scientific discovery. Deadline @mila-quebec.bsky.social is Dec 1! Make sure to talk about why you are passionate about these topics.
Tips here: neo-x.github.io/blog/2023/09...
Tips here: neo-x.github.io/blog/2023/09...
| Glen Berseth
neo-x.github.io
November 28, 2024 at 3:02 PM
I am accepting new students to the lab to work on scaling DeepRL algorithms, making generalist robotics models, and ML 4 scientific discovery. Deadline @mila-quebec.bsky.social is Dec 1! Make sure to talk about why you are passionate about these topics.
Tips here: neo-x.github.io/blog/2023/09...
Tips here: neo-x.github.io/blog/2023/09...
We show that reducing churn by regularizing out-of-batch data reduces these chain effects and results in improved sample efficiency and scaling. #deepRL #reinforcementlearning
September 16, 2024 at 11:19 PM
We show that reducing churn by regularizing out-of-batch data reduces these chain effects and results in improved sample efficiency and scaling. #deepRL #reinforcementlearning
A new Stigmergic Multi‑Agent Deep RL framework (S‑MADRL) uses virtual pheromone fields for coordination. Simulations with up to eight robots showed better efficiency than MADDPG and MAPPO. Read more: https://getnews.me/stigmergy-inspired-deep-rl-boosts-multi-robot-coordination/ #stigmergy #deeprl
October 7, 2025 at 5:18 PM
A new Stigmergic Multi‑Agent Deep RL framework (S‑MADRL) uses virtual pheromone fields for coordination. Simulations with up to eight robots showed better efficiency than MADDPG and MAPPO. Read more: https://getnews.me/stigmergy-inspired-deep-rl-boosts-multi-robot-coordination/ #stigmergy #deeprl
Researchers introduced UD3RL, a dual‑decoder reinforcement‑learning model for the close‑enough traveling salesman problem, beating classic heuristics in tour quality and speed. Read more: https://getnews.me/deep-rl-tackles-close-enough-traveling-salesman-problem/ #closeenoughtsp #deeprl
October 6, 2025 at 9:58 AM
Researchers introduced UD3RL, a dual‑decoder reinforcement‑learning model for the close‑enough traveling salesman problem, beating classic heuristics in tour quality and speed. Read more: https://getnews.me/deep-rl-tackles-close-enough-traveling-salesman-problem/ #closeenoughtsp #deeprl
A hybrid controller blending deep reinforcement learning with bounded extremum seeking showed faster set‑point convergence and resilience in a time‑varying particle‑accelerator component. https://getnews.me/hybrid-drl-and-bounded-es-improves-control-of-variable-systems/ #hybridcontrol #deeprl
October 6, 2025 at 5:31 AM
A hybrid controller blending deep reinforcement learning with bounded extremum seeking showed faster set‑point convergence and resilience in a time‑varying particle‑accelerator component. https://getnews.me/hybrid-drl-and-bounded-es-improves-control-of-variable-systems/ #hybridcontrol #deeprl
MAMC adds multiple actors and critics to deep deterministic RL, surpassing prior models on MuJoCo with higher rewards and faster convergence; the code is released on GitHub. Read more: https://getnews.me/multi-actor-multi-critic-deep-rl-outperforms-state-of-the-art-on-mujoco/ #deeprl #mujoco #mamac
October 3, 2025 at 3:29 AM
MAMC adds multiple actors and critics to deep deterministic RL, surpassing prior models on MuJoCo with higher rewards and faster convergence; the code is released on GitHub. Read more: https://getnews.me/multi-actor-multi-critic-deep-rl-outperforms-state-of-the-art-on-mujoco/ #deeprl #mujoco #mamac
Survey classifies reinforcement learning for bipedal robots into end-to-end and hierarchical frameworks, urging unified, efficient designs. Updated Sep 27 2025, 17 pages. Read more: https://getnews.me/survey-of-deep-reinforcement-learning-approaches-for-bipedal-robots/ #deeprl #bipedalrobots
October 1, 2025 at 7:45 AM
Survey classifies reinforcement learning for bipedal robots into end-to-end and hierarchical frameworks, urging unified, efficient designs. Updated Sep 27 2025, 17 pages. Read more: https://getnews.me/survey-of-deep-reinforcement-learning-approaches-for-bipedal-robots/ #deeprl #bipedalrobots
XQC adds batch-norm, weight-norm and a distributional loss to Soft Actor-Critic, cutting critic condition numbers and improving sample efficiency on benchmarks. Submitted September 2025. Read more: https://getnews.me/xqc-improves-sample-efficiency-in-deep-reinforcement-learning/ #deeprl #xqc #rl
October 1, 2025 at 3:53 AM
XQC adds batch-norm, weight-norm and a distributional loss to Soft Actor-Critic, cutting critic condition numbers and improving sample efficiency on benchmarks. Submitted September 2025. Read more: https://getnews.me/xqc-improves-sample-efficiency-in-deep-reinforcement-learning/ #deeprl #xqc #rl