Seonglae Chomake environment
Ant-V4- 8 action space
CartPole-v1
HalfCheetah-v4- can have negative reward
Reacher-v4
Mujoco envs
Gymnasium Documentation
A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)
https://gymnasium.farama.org/environments/mujoco/ant/#ant
Classic envs
CartPole-v1
CartPole-v0
the agent can choose to push the cart to the left or to the right. The goal of the agent is to keep the pole balanced on the cart for as long as possible
Gymnasium Documentation
A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)
https://gymnasium.farama.org/environments/classic_control/
Toy Text
FrozenLake-v1
Gymnasium Documentation
A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)
https://gymnasium.farama.org/environments/toy_text/