Personal project developing Reinforcement Learning agents in the Minigrid environment Topics reinforcement-learning ai pytorch rl minigrid Resources Readme Activity Stars 0 stars Watchers 1 watching Forks
XLand Minigrid是用JAX编写的,设计成高度可扩展的,可以在GPU或TPU加速器上运行... XLand MiniGrid缺乏多智能体仿真支持是一个关键缺口,这可能会削弱其在快速发展的元信息学习(meta-RL)领域的适用性,该领域逐渐以多智能体动力学为中心。多智能体设置对于建模合作和竞争行为的复杂相互作用是必不可少的,这是从自动驾...
python reinforcement-learning impala reinforcement-learning-algorithms minigrid atari imitation-learning distributed-system drl inverse-reinforcement-learning r2d2 smac mujoco multiagent-reinforcement-learning pytorch-rl self-play model-based-reinforcement-learning exploration-exploitation distributed-reinforcement-learnin...
Basic Concepts and Algorithms of Reinforcement Learning Reinforcement learning (RL) is a method where machines learn to maximize reward signals through interaction with an environment, demonstrating outstanding perfor- mance across various application areas. Recently, RL has played a significant role in ...
Therl-starter-filesis a repository with examples on how to trainMinigridenvironments with RL algorithms. This code has been tested and is known to work with this environment. The default hyper-parameters are also known to converge. Citation ...
🥳 We recently releasedXLand-100B, a large multi-task dataset for offline meta and in-context RL research, based on XLand-MiniGrid. It is currently the largest dataset for in-context RL, containing full learning histories for30k unique tasks, 100B transitions, and 2.5B episodes. Check it ...
This environment has a series of connected rooms with doors that must be opened in order to get to the next room. The final room has the green goal square the agent must get to. This environment is extremely difficult to solve using RL alone. However, by gradually increasing the number of...
import gym import numpy as np import rlf.rl.utils as rutils from rlf.args import str2bool from rlf.envs.env_interface import EnvInterface, register_env_interface try: import gym_minigrid from gym_minigrid.minigrid import Goal from gym_minigrid.wrappers import * except: pass clas...
This environment has a series of connected rooms with doors that must be opened in order to get to the next room. The final room has the green goal square the agent must get to. This environment is extremely difficult to solve using RL alone. However, by gradually increasing the number of...
🥳 We recently released XLand-100B, a large multi-task dataset for offline meta and in-context RL research, based on XLand-MiniGrid. It is currently the largest dataset for in-context RL, containing full learning histories for 30k unique tasks, 100B transitions, and 2.5B episodes. Check ...