In reinforcement learning, what is meant by observation space? Is it the different possible states in the game that we are talking about?
What is observation space?
Hey @nikhil_sarda, The state space and observation space may as well overlap most importantly for the sake of convenience as in cases of most RL toy & simulated problems/ environments. The Gym environments are modeled as POMDPs (paper), which justifies using of the term ‘observation’ instead of ‘state’ and also essentially imply that the Gym environment is partially observed by the agent. But Gym does not provide any information regarding the actual or complete state space of any environment. So ultimately the observation space becomes a vector of all the states Gym uses to model an environment.
For detailed explanation on Reinforcement Learning, you can also go through this blog.
I hope this clears your doubt ! 
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