📚 Continuous Arcade Learning Environment (CALE): Advancing the Capabilities of Arcade Learning Environment

Autonomous agents have emerged as a critical focus in machine learning research, especially in reinforcement learning (RL), as researchers work to develop systems that can handle diverse challenges independently. The core challenge lies in creating agents that show three key characteristics: generality in tackling various tasks, capability in achieving high performance, and autonomy in learning […]

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