[package] name = "atari-env" version = "0.1.1" authors = ["elbaro "] edition = "2018" description = "Atari Environment for Reinforcement Learning" repository = "https://github.com/elbaro/gym-rs" license = "GPL-2.0-or-later" keywords = ["learning", "rl", "ml", "gym", "atari"] categories = ["science", "simulation", "api-bindings", "emulators"] [features] default = [] sdl = ["atari-env-sys/sdl"] [dependencies] atari-env-sys = { version = "0.1.0", path = "../atari-env-sys" } gym-core = { version = "0.1.0", path = "../gym-core" } c_str_macro = "1.0.2" image = "0.23.14" minifb = "0.19.2" pixels = "0.2.0" strum = { version = "0.20.0", features = ["derive"] } viuer = "0.4.0" wgpu = "0.7.0" winit = "0.24.0" winit_input_helper = "0.9.0" ndarray = { version = "0.15.1", features = ["rayon"] } num-traits = "0.2.14" num-derive = "0.3.3" anyhow = "1.0.40" [dev-dependencies] dirs = "3.0.1" rand = "0.8.3" tch = "0.4.0"