Atari games became the canonical RL benchmark when DeepMind's DQN (2013) learned to play Breakout from raw pixels, but the goalposts keep moving. Agent57 (2020) was the first to achieve superhuman scores on all 57 games, and recent work like BBF and MEME shows that sample efficiency — not just final performance — is the new frontier. The benchmark's age is both its strength (decades of comparable results) and weakness (it doesn't capture the open-ended reasoning modern RL needs).
Suite of 57 Atari 2600 games. Standard benchmark for deep reinforcement learning agents.
Leading models on Atari 2600.
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