PettingZoo: Gym for Multi-Agent Reinforcement Learning
PulseAugur coverage of PettingZoo: Gym for Multi-Agent Reinforcement Learning — every cluster mentioning PettingZoo: Gym for Multi-Agent Reinforcement Learning across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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NetForge RL: New Cyber Defense Simulation Environment Released
Researchers have introduced NetForge RL, a new multi-agent simulation environment designed for training reinforcement learning agents in cyber defense scenarios. This environment features procedurally generated networks…
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New research revisits action factorization for complex RL spaces · 2 sources tracked
A new research paper explores methods for handling complex action spaces in reinforcement learning, particularly those that combine discrete and continuous actions. The study analyzes various factorization techniques ac…
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New MuJoCo-Drones-Gym simulator enhances multi-drone RL research
Researchers have developed MuJoCo-Drones-Gym, an open-source simulation environment for multi-drone reinforcement learning. Built on the MuJoCo physics engine, it offers GPU acceleration and supports flexible physics mo…
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New Drone Swarm Search Environment for Reinforcement Learning
Researchers have developed DSSE, a new environment for studying multi-agent reinforcement learning algorithms. This environment, built on PettingZoo, simulates drones searching for targets like shipwrecked individuals. …