This repository implements multiple Deep-RL agents to solve an 'openai-gym' puzzle. The idea is to share agent learned parameters to solve the puzzle ASAP!

1. Pool & share all the agent's Experience Replay Buffer.
2. Transfer the best agent's with other agents every episode.
3. All the agent's are TD3 & initialized with same parameters.

Training Profile

'agent1' Training Profile	'agent2' Training Profile

'agent3' Training Profile

Collective Training Profile	Solo & Team Agent Testing Profile

1. Single Agent Sum.Score = -22712.6309
2. Multi Agent Sum.Score = -10695.2879
3. Single Agent Mean Score = -227.1263
4. Multi Agent Mean Score = -106.9528
5. Scores in Ratio : Single Agent : Multi Agent = 0.4708 Multi Agent : Single Agent = 2.1236

** 3Nos. of agents in a team are 2.2136 times better than a single agent.

• Name: Kanishk Navale
• Website: https://kanishknavale.github.io/
• E-Mail: [email protected]