Recent developments in artificial intelligence and autonomous learning have shown impressive results in tasks like board games and computer games. However, the applicability of learning techniques remains mainly limited to simulated environments. One of the major causes of this inapplicability to real-world scenarios is the general sample-inefficiency and inability to guarantee the safe��
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