* SAC algorithm
* SAC - updates to agent (learn_from_batch), sac_head and sac_q_head to fix problem in gradient calculation. Now SAC agents is able to train.
gym_environment - fixing an error in access to gym.spaces
* Soft Actor Critic - code cleanup
* code cleanup
* V-head initialization fix
* SAC benchmarks
* SAC Documentation
* typo fix
* documentation fixes
* documentation and version update
* README typo
Coach supports many state-of-the-art reinforcement learning algorithms, which are separated into three main classes -
value optimization, policy optimization and imitation learning.
A detailed description of those algorithms can be found by navigating to each of the algorithm pages.