ember-rl 0.1.0

Reinforcement learning algorithm implementations (DQN, PPO, SAC) using Burn
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62

# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2021"
name = "ember-rl"
version = "0.1.0"
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]
envs = []

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

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

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

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

[dependencies.rl-traits]
version = "0.2"