🎮 Reinforcement Learning - aibrain0x01 · Scour

TT-DAC-PS: Twin-Target Deterministic Actor-Critic with Policy Smoothing for Optimal Trade Execution

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Reinforcement Learning and Optimal Control Book (RIP Dimitri Bertsekas)

🦾Robotics Academic

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Q-Learning (Reinforcement learning): Bellman Equation, Markov Decision Processes, Q-Values, and…

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Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMs

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Reasoning RL in 2026: GRPO, DPO, RLVR, Agentic PO & Beyond

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DDPG from Scratch: 400-Line PyTorch Implementation

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Geometry-Aware Reinforcement Learning for 2D Irregular Nesting

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Structure-Conditioned Actor-Critic Branches for Quality-Diversity Reinforcement Learning

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Towards End to End Motion Planning and Execution for Autonomous Underwater Vehicles Using Reinforcement Learning

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Merging model-based control with multi-agent reinforcement learning for multi-agent cooperative teaming strategies

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Performance Variation in Deep Reinforcement Learning

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Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning

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GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation

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Reinforcement Learning for Flow-Matching Policies with Density Transport

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Cooperative Long Rope Skipping via Multi-Agent Reinforcement Learning

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Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents

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Self-evolving LLM agents with in-distribution Optimization

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RUBAS: Rubric-Based Reinforcement Learning for Agent Safety

✨Generative AI Academic

Learning Predictive Control with Deep Koopman Operators for Autonomous Vehicle Motion Planning

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The Neutral Mask: How RLHF Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model

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