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Reinforcement Learning in Non-Stationary Environments
Reinforcement Learning in Non-Stationary Environments

This academic paper introduces Non-Stationary Natural Actor-Critic (NS-NAC), a novel model-free, policy-based reinforcement learning algorithm design…

1 year, 1 month ago

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Personalized Policy Learning from Heterogeneous Data
Personalized Policy Learning from Heterogeneous Data

This document introduces a novel framework for offline reinforcement learning (RL), focusing on optimizing individual policies when data comes from d…

1 year, 1 month ago

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Boosting Reinforcement Learning with Human Feedback via SeRA
Boosting Reinforcement Learning with Human Feedback via SeRA

This article from Amazon Science, published in May 2025, focuses on machine learning and conversational AI, specifically addressing improvements in r…

1 year, 1 month ago

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AXIOM: Active Inference Object-Centric World Models
AXIOM: Active Inference Object-Centric World Models

This document introduces AXIOM, a novel artificial intelligence architecture designed to learn how to play games efficiently using object-centric mod…

1 year, 1 month ago

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Entropy and Reinforcement Learning for LLMs
Entropy and Reinforcement Learning for LLMs

This academic paper explores a critical issue in reinforcement learning (RL) with large language models (LLMs): the rapid decline of policy entropy, …

1 year, 1 month ago

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FLEX Robot-Agnostic Force-Based Manipulation Learning
FLEX Robot-Agnostic Force-Based Manipulation Learning

AI and Robotics

1 year, 1 month ago

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Agent RL Scaling for Mathematical Problem Solving
Agent RL Scaling for Mathematical Problem Solving

This academic paper explores ZeroTIR, a novel method for training Large Language Models (LLMs) to spontaneously use external tools, specifically Pyth…

1 year, 1 month ago

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Beyond Reward: Limits of RL in LLM Reasoning
Beyond Reward: Limits of RL in LLM Reasoning

This academic paper critically re-evaluates the widespread belief that Reinforcement Learning with Verifiable Rewards (RLVR) enhances the fundamental…

1 year, 1 month ago

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Reward Model Variance in RLHF
Reward Model Variance in RLHF

This document investigates how the quality of a reward model impacts the training efficiency of language models using Reinforcement Learning from Hum…

1 year, 1 month ago

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Power Grid Topological Control with Graph Reinforcement Learning
Power Grid Topological Control with Graph Reinforcement Learning

This document presents research on improving power grid management through reinforcement learning. The authors introduce a model-free approach using …

1 year, 1 month ago

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