🤖 Reinforcement Learning - nmarshall · Scour

From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments

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

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SimarcLabs/pybullet-swarm-sim: Python framework for simulating drone swarms with PyBullet in seconds.

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Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning

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Performance Variation in Deep Reinforcement Learning

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Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning

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Self-Paced Curriculum Reinforcement Learning for Autonomous Superbike Racing in Simulation

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Self-evolving LLM agents with in-distribution Optimization

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

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Deep reinforcement learning for process design: Review and perspective

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Enhancing the MADDPG Algorithm for Multi-Agent Learning via Action Inference and Importance Sampling

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Fog of Love: Engineering Virtuous Agent Behavior with Affinity-based Reinforcement Learning in a Game Environment

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

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Representation Learning Enables Scalable Multitask Deep Reinforcement Learning

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Dynamic Multi-Pair Trading Strategy in Cryptocurrency Markets with Deep Reinforcement Learning

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Policy Gradient for Continuous-Time Robust Markov Decision Processes

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

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AgentJet: A Flexible Swarm Training Framework for Agentic Reinforcement Learning

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RUBAS: Rubric-Based Reinforcement Learning for Agent Safety

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Self-Optimizing Control of Continuous Processes Based on Reinforcement Learning

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