1) Improving deep reinforcement learning by incorporating human expertise:

• Deep RL agent plays the River Raid game without human expertise: https://youtu.be/J3DvwtYg8v8.

• Deep RL agent plays the River Raid game with human expertise: https://youtu.be/dxJFvJT5raI.

• Deep RL agent plays the Tank game without human expertise: https://youtu.be/V7xaTP8tlTI.

• Deep RL agent plays the Tank game with human expertise: https://youtu.be/9cfDIOW1Gwo. 

2) Multi-objective deep reinforcement learning (MODRL):

• A demonstration obtained from our MODRL framework using the 3-objective Mountain Car problem: https://youtu.be/r3TQbXfgaVM

• A demonstration obtained from our MODRL framework using the deep-sea treasure 5-clolumn environment: https://youtube.com/shorts/J60iL2GQtBw

3) Multi-agent deep reinforcement learning (MADRL): 

• Two deep RL agents (in green and yellow) cooperating to play the Tank game in a multi-agent environment: https://youtu.be/_-6CqCsI6Tg