✨Two single author papers accepted to ICLR 2026!✨
Truly excited to present these results at #ICLR2026 !
@iclr-conf.bsky.social #ICLR26 #DeepRL #ICLR #ReinforcementLearning
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#deepRL
Latest posts tagged with #deepRL on Bluesky
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Posts tagged #deepRL
If you are interested in reinforcement learning or reinforcement learning training of language models, this might spark your interest!
✨See my new paper on scaling, capacity and complexity of reinforcement learning published at #AAAI2026 ! @aaai.org
#AAAI #AAAI26 #ReinforcementLearning #DeepRL
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✨Excited to present these results at #AAAI2026 !
📜It is a must read if you are interested in reinforcement learning 📜 @aaai.org
Paper: Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
#ReinforcementLearning #AAAI #AAAI26 #DeepRL
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Stigmergy‑Inspired Deep RL Boosts Multi‑Robot Coordination
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: getnews.me/stigmergy-inspired-deep-... #stigmergy #deeprl
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Deep RL Tackles Close‑Enough Traveling Salesman Problem
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: getnews.me/deep-rl-tackles-close-en... #closeenoughtsp #deeprl
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Hybrid DRL and Bounded ES Improves Control of Variable Systems
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. getnews.me/hybrid-drl-and-bounded-e... #hybridcontrol #deeprl
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Multi‑Actor Multi‑Critic Deep RL Outperforms State‑of‑the‑Art on MuJoCo
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: getnews.me/multi-actor-multi-critic... #deeprl #mujoco #mamac
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Survey of Deep Reinforcement Learning Approaches for Bipedal Robots
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: getnews.me/survey-of-deep-reinforce... #deeprl #bipedalrobots
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XQC Improves Sample Efficiency in Deep Reinforcement Learning
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: getnews.me/xqc-improves-sample-effi... #deeprl #xqc #rl
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Deep RL Improves Dynamic After‑sales Time Slot Scheduling
Researchers propose attention‑based deep RL (ADRL‑RE) and scenario planning for after‑sales slot scheduling; ADRL‑RE outperforms rule‑based baselines, while SBP needs less compute. Read more: getnews.me/deep-rl-improves-dynamic... #deeprl #scheduling
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Gradient Eligibility Traces Boost Deep Reinforcement Learning
A new study expands the projected Bellman error framework with multistep λ‑return eligibility traces, showing gradient‑based methods outperform PPO on MuJoCo and MinAtar tasks. Read more: getnews.me/gradient-eligibility-tra... #deeprl #eligibilitytraces
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Deep RL Direct Gate Control Improves Buck Converter Speed
A deep‑reinforcement‑learning controller that directly drives the gate of a buck converter showed faster settling and reduced overshoot in simulations versus traditional PWM control. getnews.me/deep-rl-direct-gate-cont... #buckconverter #deeprl
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Deep Reinforcement Learning Boosts Lift and Cuts Drag on 3D Wing
Deep reinforcement learning control raised lift by 79% and cut drag 65% on an SD7003 wing at Re 60 000, boosting aerodynamic efficiency about 408%, in a high‑Reynolds‑number test. Read more: getnews.me/deep-reinforcement-learn... #deeprl #aerodynamics
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La Revolución de la IA ya está aquí: del #ReinforcementLearning desde cero hasta la #AGI.
Q-learning, SARSA, LLMs y agentes que aprenden a pensar 🤖✨
📺 Mira el video completo 👉 youtu.be/R6MvIB7DHLU
#InteligenciaArtificial #MachineLearning #DeepRL
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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.
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We tackled this challenge with behavioral experiments in mice, Bayesian theory, and #DeepRL. Using a novel change-detection task, we show how mice and networks adapt on the first trial from a context change by inferring both context and meaning—without trial and error.
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If you are interested in large language models see my paper below on how we can uncover the biases learned by these models.
Link: neurips2023-enlsp.github.io/papers/paper...
#ReinforcementLearning #FoundationModels #DeepRL #DeepReinforcementLearning #ResponsibleAI #AIBias #LLMs #LanguageModels
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🔍 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
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If you are interested in deep reinforcement learning, I will share this repo here:
Link: github.com/EzgiKorkmaz/...
#ReinforcementLearning #SafeAI #Adversarial #Robust #DeepRL #robustRL #LanguageModels #AdversarialRL #AISafety #ExplainableAI #TrustworthyAI #ResponsibleAI #DeepReinforcementLearning
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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.
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A recent paper I wrote introduces foundational analysis on deep reinforcement learning decision making and representations learnt by it.
Link: proceedings.mlr.press/v235/korkmaz...
#ReinforcementLearning #ICLR2025 #ACL2025 #NAACL2025 #NeurIPS2024 #ICML2025 #DeepRL #DeepReinforcementLearning
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I wrote a recent survey about deep reinforcement learning. The paper is a compact guide to understand some of the key concepts in reinforcement learning.
Link: arxiv.org/pdf/2401.023...
#ReinforcementLearning #ICLR2025 #ACL2025 #NAACL2025 #NeurIPS2024 #ICML2025 #DeepRL #DeepReinforcementLearning
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#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
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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
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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.
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If you are curious about deep reinforcement learning find the compact highlights of my recent papers in this new short piece:
#NeurIPS2024 @neuripsconf.bsky.social #NeurIPS24
#reinforcementlearning #AIsafety #AISecurity #ResponsibleAI #TrustworthyAI #RobustAI #DeepRL
bsky.app/profile/ezgi...
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Cool #DeepRL paper from University of Alberta:
"Deep reinforcement learning without experience replay, target networks, or batch updates"
Deep RL networks in the streaming setting without replay buffers thanks to signal normalization & step-size bounding 🤯
📄Paper: openreview.net/pdf?id=yqQJG...
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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
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Глибоке навчання з підкріпленням (Deep RL) поєднує в собі навчання з підкріпленням і глибоке навчання, демонструючи безпрецедентний успіх у вирішенні складних завдань, які колись вважалися недосяжними для машин.
#AI #DeepRL #ML #ШІ
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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
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