Pinned Repositories
navix
Accelerated minigrid environments with JAX
FondamentiIA-2223
Esercitazioni del corso di Fondamenti di Intelligenza Artificiale 2022-2023
gym-ma-survival-2d
Gym interface for a 2D multi-agent survival RL environment
kernel-representations-transfer
RL_2024
Deep-Learning-and-Wavelet-Transform-for-Air-Quality-Forecasting
ICIAP2023 conference code implementation - Deep Learning and Wavelet Transform for Air Quality Forecasting
pokeemerald
Decompilation of Pokémon Emerald
VectorizedMultiAgentSimulator
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.
cgp-vec
Vectorized Cartesian Genetic Programming library
VectorizedMultiAgentSimulator
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.
rikifunt's Repositories
rikifunt/cgp-vec
Vectorized Cartesian Genetic Programming library
rikifunt/VectorizedMultiAgentSimulator
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.