Python PongGame Examples

Example #1

File: td_pong_play.py Project: JeniaJitsev/pong-RL

import random
import numpy
import sys
import time
import os
import json
from pong_environment_play import PongGame

policy_filename = "pong_policy.dat"
values_filename = "pong_values.dat"

alpha = 0.1  # values / critic learning parameter
beta = 0.1  # actor learning parameter
gamma = 0.9  # error signal: future states parameter

env = PongGame(["human", "computer"], bins=12)

world_dim = env.getWorldDim()
num_possible_moves = env.getActionDim()

state = env.getState(1)

pol_file = None
val_file = None

if os.path.exists(policy_filename):
    pol_file = open(policy_filename, "r+")
    policy = numpy.array(json.loads(pol_file.read()))
    pol_file.close()
else:
    # create random policy

Example #2

File: random_walker.py Project: JeniaJitsev/pong-RL

import random
from pong_environment_play import PongGame
import time

env = PongGame(["human", "computer"])
env.start()
while True:
	time.sleep(0.05)
	direction = random.randint(-1, 1)

	outcome = 0
	state, outcome = env.move(direction, 1)

Example #3

File: spinnaker_pong.py Project: JeniaJitsev/pong-RL

            
            # Add place cell to list
            if DEBUG:
                print("\tPlace cell mu:%f" % cell_mu)
            
            cells.append(PlaceCell(cell_mu, cell_sigma, cell_min_rate, cell_max_rate, population_size, population_label_stem + ("_%u" % c), sdp_connection))
        
        return cells
    
# ------------------------------------------
# PyNN entry point
# ------------------------------------------
# SpiNNaker setup
sim.setup(timestep=1.0,min_delay=1.0,max_delay=10.0)

# Create human vs ai pong game and start it
pong_game = PongGame(["human", "computer"])
pong_game.start()

# Create spinnaker pong player
player_thread = SpiNNakerPlayer(BOARD_ADDRESS, 0, pong_game, MAX_Y, UPDATE_TIMESTEP, 
                NUM_PADDLE_CELLS, PADDLE_CELL_SIGMA, CELL_MIN_RATE, PADDLE_CELL_MAX_RATE, PADDLE_CELL_POP_SIZE, 
                NUM_BALL_CELLS, BALL_CELL_SIGMA, CELL_MIN_RATE, BALL_CELL_MAX_RATE, BALL_CELL_POP_SIZE)


# Start player thread and simulation
player_thread.start()

sim.run(SIM_TIME)