⛰ Reinforcement learning model trying to make car reach to top of mountain
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Updated
Jun 5, 2024 - Python
⛰ Reinforcement learning model trying to make car reach to top of mountain
Pettingzoo env for the game SuperTuxKart using pystk.
Fork of the Mario Kart 64 Gym Environment. Includes training scripts for RL algorithms and Grad-CAM visualization
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch,激光雷达Lidar避障,激光雷达仿真模拟,Adaptive-SAC
A grid-like environment (multi-agent system) used by an intelligent agent (or more than one agent) in order for it/them to carry the orbs to the pits in a limited number of movements.
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.
Pytorch implementation of various distributed reinforcement learning algorithms
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space (IEEE-IV-2024)
Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making
Tile matching gym environment for reinforcement learning research.
Gym environments for logistics tasks that can be described as "Move something from A to B"
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
A gymnaisum environment for autonomous decision making in fixed-wing aircraft
HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling
Evaluate Feature extraction in the reinforcement learning, with environements from OpenAi gym, and policies from stable-baselines3
Simple Gridworld Gymnasium Environment
A Rust version of RLGym for RocketSim.
Connect 4 (X) Environment + GYM + PyGame GUI
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