Stefano Albrecht

Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

Exploration in multi-agent reinforcement learning is a challenging problem, especially in environments with sparse rewards. We propose a general method for efficient exploration by sharing experience amongst agents. Our proposed algorithm, called shared Experience Actor-Critic(SEAC), applies experi…