[BUG] get_agent_type assumes naming convention that is not consistent across all of our environments

[AsadJeewa]

Describe the bug

https://github.com/instadeepai/Mava/blob/develop/mava/specs.py#L68 assumes that agents from all environments are named with the convention type_identifier and hence using split to extract type. This is in some environments such as OpenSpiel/Tic Tac Toe since agents are named player_0 and player_1

To Reproduce

Steps to reproduce the behavior: 1.Run examples/tf/openspiel/tic_tac_toe/feedforward/decentralised/run_madqn.py 2.Log output of get_agents_types()

Expected behavior

Player_0 and Players_1 should be regarded as separate types and not a single agent type of name Player

Context (Environment)

• Latest Mava as of 24-02-22

Additional context

Possible Solution

Flag to specify environment type which will be used to set agent type