ember-rl 0.3.4

Reinforcement learning algorithm implementations (DQN, PPO, SAC) using Burn
Documentation
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[package]
edition = "2021"
name = "ember-rl"
version = "0.3.4"
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Reinforcement learning algorithm implementations (DQN, PPO, SAC) using Burn"
readme = "README.md"
keywords = [
    "deep-learning",
    "burn",
    "dqn",
    "rl",
    "neural-network",
]
categories = [
    "science",
    "algorithms",
]
license = "MIT OR Apache-2.0"
repository = "https://github.com/vidarrio/ember-rl"

[features]
dashboard = ["dep:tiny_http"]
envs = []

[lib]
name = "ember_rl"
path = "src/lib.rs"

[[bin]]
name = "ember-dashboard"
path = "src/bin/dashboard.rs"
required-features = ["dashboard"]

[[example]]
name = "cartpole_dqn"
path = "examples/cartpole_dqn.rs"
required-features = ["envs"]

[[example]]
name = "cartpole_ppo"
path = "examples/cartpole_ppo.rs"
required-features = ["envs"]

[dependencies.anyhow]
version = "1"

[dependencies.burn]
version = "0.20.1"
features = [
    "ndarray",
    "autodiff",
]

[dependencies.chrono]
version = "0.4"
features = ["serde"]

[dependencies.rand]
version = "0.8"
features = ["small_rng"]

[dependencies.rl-traits]
version = "0.2.2"

[dependencies.serde]
version = "1"
features = ["derive"]

[dependencies.serde_json]
version = "1"

[dependencies.tiny_http]
version = "0.12"
optional = true