#reinforcementlearning
On p. 95, Mallaby's writing asserts #reinforcementlearning enables #agenticAI
November 1, 2026 at 8:48 PM
I trained BattleBots to fight in a simulation and then made them IRL! Video is live now: youtube.com/@jamesbruton...

#Reinforcementlearning #AI #BattleBots #robotics #machine
October 29, 2026 at 4:04 PM
pp. 212-213 contrast the "tension" between training on data and #reinforcementlearning for #AI LLMs
November 2, 2026 at 6:57 PM
P. 96 takes #reinforcementlearning even farther by claiming it enables #AI to learn anything!
November 1, 2026 at 8:56 PM
A coding model automatically reconfigures robot control based on failure analysis, achieving a 4.5x performance increase on unseen scenes.

#Robotics #ReinforcementLearning #LLM
RoboArchitect raised average success from 9.7% to 43.3% on unseen scenes
Source: arXiv cs.RO (robotics)
realfeedapp.com
November 2, 2026 at 2:02 PM
Researchers found that giving chatbots empathetic prompts can make them sound traumatized – a new safety snag for ChatGPT, Grok, Gemini and others. How does reinforcement learning factor in? Read the study from University of Luxembourg. #AIEmpathy #ChatbotSafety #ReinforcementLearning

🔗
November 1, 2026 at 2:59 PM
Celebrating David Silver! 🎉 CEO of Ineffable Intelligence, UCL professor and first author of AlphaZero, which mastered chess and shogi by self-play.

aipeoplewiki.com/people/david...

#DavidSilver #AI #ReinforcementLearning
David Silver Wiki: CEO at Ineffable Intelligence | AI People Wiki
David Silver, CEO at Ineffable Intelligence: sourced bio, career timeline, and official site davidstarsilver.wordpress.com.
aipeoplewiki.com
November 1, 2026 at 10:57 PM
Debug RLEF reward arithmetic in Python: distinguish sampled log ratios from exact KL, test clipping bias, and verify token-mean versus sum penalties. #reinforcementlearning
A Negative KL Penalty Doesn't Mean Your AI Agent's Reward Calculation Is Broken
hackernoon.com
October 26, 2026 at 11:56 PM
October 24, 2026 at 6:53 AM
Moonshot AIが新シリーズの第1弾「Kimi K3.1 Pro」を発表

Moonshot AIが100万トークン対応の3T級オープンウェイトモデル「Kimi K3.1 Pro」を発表。

#LLM #Open-Weight #ReinforcementLearning #MoonshotAI
Moonshot AIが新シリーズの第1弾「Kimi K3.1 Pro」を発表
Moonshot AIが100万トークン対応の3T級オープンウェイトモデル「Kimi K3.1 Pro」を発表。
ai.warp-studio.com
October 25, 2026 at 10:58 PM
Next-Concept Modeling and Bridge360 Metatheory Governance: Audio overview applying Bridge360 Metatheory Model lens

agericomontecillodevilla.substack.com/p/next-conce...

#AIGovernance
#AISafety
#machinelearning
#reinforcementlearning
#selfimprovingsystems
#selfevolvingsystems
Next-Concept Modeling and Bridge360 Metatheory Governance
Audio overview applying Bridge360 Metatheory Model lens
agericomontecillodevilla.substack.com
October 24, 2026 at 1:51 AM
Aston University is advertising a funded four-year PhD studentship on curiosity-driven infant learning and reinforcement learning modelling of exploration in the United Kingdom.
mlscientist.com/funded-phd-i... #reinforcementlearning
October 24, 2026 at 12:25 PM
Big thanks to Andrew Barto #AndrewBarto! The UMass Amherst professor emeritus shared the 2024 ACM Turing Award with Richard Sutton for laying the foundations of reinforcement learning, and co-wrote the go-to RL textbook. 🙌
aipeoplewiki.com/people/andre... #ReinforcementLearning
Andrew Barto at University of Massachusetts Amherst | AI People Wiki
Andrew Barto is Professor Emeritus at University of Massachusetts Amherst. Career timeline, work and sourced citations; fields: Reinforcement learning,…
aipeoplewiki.com
October 25, 2026 at 12:53 AM
分布的Q学習(なぜ分布を学ぶのか)解説。原論文のC51は理論が面白くて好きだが、まず動画需要はないか(元より価値はアルゴリズムのほうにあ)。動画最後の"なんですごいか"部分が良い。QR-DQN解説にも期待します。

Categorical DQN - 分布強化学習を活用しQ学習の不安定性を打破【深層強化学習】RL vol. 39 #VRアカデミア - Alicia Solid Project
m.youtube.com/watch?v=3lmg...
【強化学習】Categorical DQN - 分布強化学習を活用しQ学習の不安定性を打破【深層強化学習】RL vol. 39 #241 #VRアカデミア #ReinforcementLearning
YouTube video by AIcia Solid Project
m.youtube.com
October 25, 2026 at 11:47 AM
A researcher built a multi-agent environment on Pokémon Showdown's 2v2 format to test LLM collaboration and negotiation. Unlike previous benchmarks using single agents, this setup requires teams to coordinate actions and split targets to wi…

#LLMAgents #ReinforcementLearning #MultiAgentCoordination
Multi-agent LLM team won the Pokémon 2v2 match
Source: HackerNews AI
realfeedapp.com
October 22, 2026 at 7:20 AM
It's happening, it's not just in futuristic movies anymore, it's becoming more reality, and this is a home project, amazing!

www.youtube.com/shorts/YmJbR...
Can a 3D Printed Robot Actually Walk? #ai #robot #robotics #biped #reinforcementlearning
YouTube video by RPGuy
www.youtube.com
October 21, 2026 at 2:54 PM
AIエージェントを活用したシミュレーション上のロボット歩行学習技術

AIエージェントとIsaac Simを用いてロボットの歩行・障害物回避をシミュレーション訓練するワークフローの解説。

#Robotics #AIAgents #Simulation #ReinforcementLearning
AIエージェントを活用したシミュレーション上のロボット歩行学習技術
AIエージェントとIsaac Simを用いてロボットの歩行・障害物回避をシミュレーション訓練するワークフローの解説。
ai.warp-studio.com
October 23, 2026 at 3:36 PM
Using a mouse-inspired #robot with a laterally flexible spine, this paper applies #ReinforcementLearning to push walking and turning limits, then reverse-engineers the learned gaits into two interpretable spine-based motion templates

https://ieeexplore.ieee.org/document/11535311

#LeggedRobots
October 21, 2026 at 6:20 PM
October 20, 2026 at 1:33 PM
New arXiv work proposes measuring empowerment offline from prior data to guide exploration during online fine-tuning of agents, avoiding the need for online rollouts to estimate it. Relevant for robotics where reusing large…

#Robotics #AI #ReinforcementLearning
https://arxiv.org/abs/2610.24461
October 20, 2026 at 10:01 PM
A new arXiv paper proposes combining a large language model with an enhanced soft actor-critic reinforcement learning algorithm to autonomously plan mobile crane actions for construction tasks, using robot kinematics…

#AI #LLM #ReinforcementLearning #Construction
https://arxiv.org/abs/2610.26899
October 21, 2026 at 4:01 AM
New arXiv work frames online robust zero-sum Markov games as joint operator-learning and game-solving, with an optimistic dual robust Bellman approach separating exploration, operator-estimation, and stage-game…

#ReinforcementLearning #MachineLearning #GameTheory
https://arxiv.org/abs/2610.26286
October 21, 2026 at 2:01 AM