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Backpropagation Through Time and Space
The dataset used in the paper for training a recurrent spatio-temporal network for hyperbolic conservation laws. -
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior -
DSSE: a Drone Swarm Search Environment
A Drone Swarm Search environment, based on PETTINGZOO, that is to be used in conjunction with multi-agent (or single-agent) reinforcement learning algorithms. -
Multi-Agent Games Using Adaptive Feedback Control
The dataset used in this paper is a set of five game-theoretic tasks (Harmony Game, Hawk-Dove, Stag-Hunt, Prisoners Dilemma and Battle of the Exes) with seven different agent... -
Towards True Lossless Sparse Communication in Multi-Agent Systems
The dataset used in the paper is a multi-agent reinforcement learning environment, where agents need to communicate with each other to achieve their goals. -
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Env...
To overcome the sim-to-real gap in reinforcement learning (RL), learned policies must maintain robustness against environmental uncertainties. While robust RL has been widely... -
Google Research Football
The Google Research Football environment is a reinforcement learning experimental platform focused on training agents to play football.
