vishal-keshav / Gym

Some of the most important Reinforcement Learning algorithms are implemented and tested on Gym environment.

Gym

Major Reinforcement Algorithms are implemented and benchmarked. Code is modular and simplistic, can be easily tinkered around to change characteristics of environment, model and hyperparameters.

Following algorithms are implemented:

• Deep-Q network (Implemented)
• Reinforce (Implemented)
• Deep deterministic policy gradient (In progress)
• Actor-Critic (In progress)

A detailed description of algorithm can be found in respective directories

Bechmarks

Will be updated soon.