Discovering state-of-the-art reinforcement learning algorithms
6 months ago
- #Meta-Learning
- #Reinforcement Learning
- #Artificial Intelligence
- Humans and animals use evolved reinforcement learning (RL) mechanisms.
- Artificial agents typically use hand-crafted learning rules.
- The study demonstrates machines can autonomously discover state-of-the-art RL algorithms.
- Meta-learning from a population of agents across complex environments led to the discovery.
- The discovered RL rule outperformed manually-designed rules on the Atari benchmark.
- It also surpassed state-of-the-art RL algorithms on unseen benchmarks.
- Findings suggest advanced AI may soon rely on automatically discovered RL algorithms.