Multi-agent reinforcement learning environment
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Jul 9, 2019 - C++
#
multi-agent-reinforcement-learning
Here are 6 public repositories matching this topic...
General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
library reinforcement-learning rl model-extraction lime plug-and-play interpretability reinforcement-learning-agent open-ai abstract-argumentation explanations xai multi-agent-reinforcement-learning open-ai-gym knowledge-extraction explainability marl model-extractor extracting-interpretable-models
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May 10, 2020 - C++
This repository provides a customizable ROS2 environment for training multiple 2D drive cars using Deep Q-Network (DQN). Currently, agents learn collision-free navigation by avoiding obstacles, but the environment is designed to allow easy modification to train for various objectives in the future.
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Nov 18, 2024 - C++
Solver and library for POSGs.
games reinforcement-learning cpp solver q-learning planning multi-agent-systems sequential-decision-making-problems sdms multi-agent-reinforcement-learning multi-agent-planning stochastic-game hsvi sdm-studio
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Apr 30, 2022 - C++
MARGoS: A Configuration-Driven Platform for Reproducible MARL Experiments in ARGoS
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Jul 2, 2026 - C++
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
mcts game-theory deepmind counterfactual-regret-minimization multi-agent-reinforcement-learning extensive-form-games strategy-games open-spiel tabular-rl two-player-games
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Jul 23, 2025 - C++
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