multiagent-particle-envs基于gym开发,所以环境创建流程基本于gym一致。multiagent-particle-envs包含9个环境,分别为simple、simple_adversary、simple_crypto、simple_push、simple_reference、simple_speaker_listener、simple_spread、simple_tag、simple_world_comm。其中simple环境仅作验证环境是否安装成功的测试使用,其余环...
Multi-Agent Particle EnvironmentA simple multi-agent particle world with a continuous observation and discrete action space, along with some basic simulated physics. Used in the paper Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments.Getting...
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Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments" - multiagent-particle-envs/multiagent/environment.py at master · openai/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments" - openai/multiagent-particle-envs
make_env.py: contains code for importing a multiagent environment as an OpenAI Gym-like object. ./multiagent/environment.py: contains code for environment simulation (interaction physics, _step() function, etc.) ./multiagent/core.py: contains classes for various objects (Entities, Landmarks, ...
如果能正常输出LangChain的版本,说明在当前环境下的安装成功。接下来执行调用。首先需要实例化gpt模型对象并生成聊天: from langchain_openai import ChatOpenAI llm = ChatOpenAI( model="gpt-4o", # api_key="...", # if you prefer to pass api key in directly instaed of using env vars # other pa...
self.color = None # max speed and accel self.max_speed = None self.accel = None # state self.state = EntityState() # mass self.initial_mass = 1.0 @property def mass(self): return self.initial_mass 定义实体的名称、大小、是否可以移动(默认不可移动)、是否和其他实体发生碰撞(默认可以)、密...
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments" - multiagent-particle-envs/multiagent/rendering.py at master · openai/multiagent-particle-envs
The problem of prng is that the gym package is updating, and prng function has been deleted. you can fix this in code multiagent-particle-envs/multiagent/multi_discrete.py import gym # from gym.spaces import prng # this prng has been can...