WebNov 2, 2024 · I'm trying to create a Multi-Agent Reinforcement Learning step-up where there are two types of agents. Each with a different type of observation and action space, precisely, two different sizes of ... WebOct 17, 2024 · env = pistonball_v6.parallel_env() agent_size_modifier = len(env.possible_agents) num_actions = agent_size_modifier num_states = len(env.observation_space(env.possible_agents[0]).shape) * agent_size_modifier ddpg_agent = centralized_ddpg_agent(num_actions, num_states) $ python test.py …
Pistonball - PettingZoo Documentation
WebGet started with PettingZoo by following the PettingZoo tutorial, where you'll train multiple PPO agents in the Pistonball environment using PettingZoo. API PettingZoo model environments as Agent Environment Cycle (AEC) games , in order to be able to cleanly support all types of multi-agent RL environments under one API and to minimize the ... Webfrom pettingzoo. butterfly import pistonball_v6 env = pistonball_v6. env 测试运行. env. reset for agent in env. agent_iter (): obs, reward, termination, truncation, info = env. last action = None if termination or truncation else env. action_space (agent). sample env. step (action) Process finished with exit code 0. 比较常用的方法 ... chef christine hell\u0027s kitchen
PettingZoo/pistonball.py at master · Farama …
WebPistonball uses the chipmunk physics engine, and are thus the physics are about as realistic as in the game Angry Birds. Keys a and d control which piston is selected to … WebJan 18, 2024 · Here is my full code: from pettingzoo.butterfly import pistonball_v6 from pettingzoo.utils.conversions import aec_to_parallel import supersuit as ss from … WebFor each piston, the reward is `local_ratio` * local_reward + (1-`local_ratio`) * global_reward. The local reward is. applied to pistons surrounding the ball while the global reward is … chef christmas tree ornament