rocket_league.action_parsers.lookup_table_action

Classes

LookupTableAction

World-famous discrete action parser which uses a lookup table to reduce the number of possible actions from 1944 to 90

Module Contents

class rocket_league.action_parsers.lookup_table_action.LookupTableAction

Bases: rlgym.api.ActionParser[rlgym.api.AgentID, numpy.ndarray, numpy.ndarray, rlgym.rocket_league.api.GameState, Tuple[str, int]]

World-famous discrete action parser which uses a lookup table to reduce the number of possible actions from 1944 to 90

_lookup_table
get_action_space(agent: rlgym.api.AgentID) → Tuple[str, int]

Function that returns the action space type. It will be called during the initialization of the environment.

Returns:

The type of the action space

reset(agents: List[rlgym.api.AgentID], initial_state: rlgym.rocket_league.api.GameState, shared_info: Dict[str, Any]) → None

Function to be called each time the environment is reset.

Parameters:

  • agents – List of AgentIDs for which this ActionParser will receive actions

  • initial_state – The initial state of the reset environment.

  • shared_info – A dictionary with shared information across all config objects.

parse_actions(actions: Dict[rlgym.api.AgentID, numpy.ndarray], state: rlgym.rocket_league.api.GameState, shared_info: Dict[str, Any]) → Dict[rlgym.api.AgentID, numpy.ndarray]

Function that parses actions from the action space into a format that rlgym understands. The expected return value is a numpy float array of size (n, 8) where n is the number of agents. The second dimension is indexed as follows: throttle, steer, yaw, pitch, roll, jump, boost, handbrake. The first five values are expected to be in the range [-1, 1], while the last three values should be either 0 or 1.

Parameters:

  • actions – An dict of actions, as passed to the env.step function.

  • state – The GameState object of the current state that were used to generate the actions.

  • shared_info – A dictionary with shared information across all config objects.

Returns:

the parsed actions in the rlgym format.

static make_lookup_table()