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.
System Message: ERROR/3 (<string> , line 12)
Unknown directive type "toctree".
.. toctree::
:maxdepth: 1
:caption: Agents
policy_optimization/ac
policy_optimization/acer
imitation/bc
value_optimization/bs_dqn
value_optimization/categorical_dqn
imitation/cil
policy_optimization/cppo
policy_optimization/ddpg
policy_optimization/td3
policy_optimization/sac
other/dfp
value_optimization/double_dqn
value_optimization/dqn
value_optimization/dueling_dqn
value_optimization/mmc
value_optimization/n_step
value_optimization/naf
value_optimization/nec
value_optimization/pal
policy_optimization/pg
policy_optimization/ppo
value_optimization/rainbow
value_optimization/qr_dqn
System Message: ERROR/3 (<string> , line 41)
Unknown directive type "autoclass".
.. autoclass:: rl_coach.base_parameters.AgentParameters
System Message: ERROR/3 (<string> , line 43)
Unknown directive type "autoclass".
.. autoclass:: rl_coach.agents.agent.Agent
:members:
:inherited-members:
