I. INTRODUCTION  
II. FUNDAMENTALS  
III. FUNDAMENTAL ALGORITHMS  
IV. DEEP REINFORCEMENT LEARNING VERSUS EVOLUTION STRATEGIES  
V. HYBRID DEEP REINFORCEMENT LEARNING AND EVOLUTION STRATEGIES ALGORITHMS  
VI. APPLICATIONS  
VII. CHALLENGES AND FUTURE RESEARCH DIRECTIONS  
VIII. CONCLUSION