From cc1f165c56bb6393fe6946a5e0708589cb8c554a Mon Sep 17 00:00:00 2001 From: ffelten Date: Fri, 3 May 2024 17:06:48 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20Farama-F?= =?UTF-8?q?oundation/momaland@6582254055ea1972eb79cddf3f00856c9558f6e9=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- 0.1.0/.buildinfo | 2 +- 0.1.0/environments/all-envs/index.html | 80 +++++++++++++------------- 0.1.0/release_notes/index.html | 1 + 0.1.0/searchindex.js | 2 +- 4 files changed, 43 insertions(+), 42 deletions(-) diff --git a/0.1.0/.buildinfo b/0.1.0/.buildinfo index 8f08983b..9e80e4c7 100644 --- a/0.1.0/.buildinfo +++ b/0.1.0/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: d1a85c866a751920eccef77da5d322f7 +config: 7d6f90ade36e89bccabba84ea21f3813 tags: d77d1c0d9ca2f4c8421862c7c5a0d620 diff --git a/0.1.0/environments/all-envs/index.html b/0.1.0/environments/all-envs/index.html index ea3e7852..11c66241 100644 --- a/0.1.0/environments/all-envs/index.html +++ b/0.1.0/environments/all-envs/index.html @@ -323,6 +323,42 @@

All Environments

mo-beach-v0

+

Any

+

Discrete / Discrete

+

[occupation, mixture]

+

Taken from Mannion_2018. MO-Beach is a game with two objectives, reflecting the enjoyment of tourists (agents) on their respective beach sections in terms of crowdedness and diversity of attendees. Each beach section is characterised by a capacity and each agent is characterised by a type.

+ +

mo-item-gathering-v0

+

Adversarial

+

Discrete / Discrete

+

[#objects] (configurable)

+

Adapted from Kallstrom_2019, is a multi-agent grid world, containing items of different colours. Each colour represents a different objective and the goal of the agents is to collect as many objects as possible.

+ +

mo-gem-mining-v0

+

Cooperative

+

- / Discrete

+

[#gems] (configurable)

+

MO version of Gem Mining Bargiacchi_2018. Agents go to different mines to extract different gems (objectives). There are restrictions on which mines can be reached for each agent. Agents also influence each other’s producitivity.

+ +

mo-congestion-v0

+

Adversarial

+

- / Discrete

+

[travel time, cost]

+

MO-RouteChoice is a multi-objective extension of the route choice problem Thomasini_2023, where a number of self-interested drivers (agents) must navigate a road network.

+ +

mo-pistonball-v0

+

Cooperative

+

Continuous / Any

+

[agent_#n_reward] (configurable)

+

An MO version of PZ’s Pistonball where the reward of each agent is kept separate.

+ +

mo-multiwalker-stability-v0

+

Cooperative

+

Continuous / Continuous

+

[progress right, package stability]

+

A MO version of PZ’s MultiWalker introduced in Gupta_2017, where the agents also seek to keep the package steady.

+

catch-v0

Cooperative

Continuous / Continuous

@@ -341,65 +377,29 @@

All Environments[distance_target, distance_other_drones]

Agents must surround a fixed target point while maintaining distance between themselves.

-

mo-beach-v0

-

Any

-

Continuous / Discrete

-

[occupation, mixture]

-

Taken from Mannion_2018. MO-Beach is a game with two objectives, reflecting the enjoyment of tourists (agents) on their respective beach sections in terms of crowdedness and diversity of attendees. Each beach section is characterised by a capacity and each agent is characterised by a type.

- -

mo-breakthrough-v0

+

mo-breakthrough-v0

Adversarial

Discrete / Discrete

[win, fast win, capturing opponent's pieces, avoiding capture]

Multi-objective version of the two-player, turn-based, board game Breakthrough.

-

mo-congestion-v0

-

Mixed

-

Continuous / Discrete

-

[travel time, cost]

-

MO-RouteChoice is a multi-objective extension of the route choice problem Thomasini_2023, where a number of self-interested drivers (agents) must navigate a road network.

-

mo-connect4-v0

Adversarial

Discrete / Discrete

[win, fast win, [column #n]]

MO version of Connect 4. Additional objectives are fast win and optionally one objective per column.

-

mo-gem-mining-v0

-

Cooperative

-

Continuous / Discrete

-

[#gems] (configurable)

-

MO version of Gem Mining Bargiacchi_2018. Agents go to different mines to extract different gems (objectives). There are restrictions on which mines can be reached for each agent. Agents also influence each other’s producitivity.

- -

mo-ingenious-v0

+

mo-ingenious-v0

Any

Discrete / Discrete

[#colors] (configurable)

-

MO adaptation of the zero-sum, turn-based board game Ingenious. The game’s original rules support 2-4 players collecting scores in multiple colors (objectives), with the goal of winning by maximizing the minimum score over all colors.

- -

mo-item-gathering-v0

-

Adversarial

-

Discrete / Discrete

-

[#objects] (configurable)

-

Adapted from Kallstrom_2019, is a multi-agent grid world, containing items of different colours. Each colour represents a different objective and the goal of the agents is to collect as many objects as possible.

- -

mo-multiwalker-stability-v0

-

Cooperative

-

Continuous / Continuous

-

[progress right, package stability]

-

A MO version of PZ’s MultiWalker introduced in Gupta_2017, where the agents also seek to keep the package steady.

- -

mo-pistonball-v0

-

Cooperative

-

Continuous / Any

-

[agent_#n_reward] (configurable)

-

An MO version of PZ’s Pistonball where the reward of each agent is kept separate.

+

MO adaptation of the zero-sum, turn-based board game Ingenious. The game’s original rules support 2-4 players collecting scores in multiple colors (objectives), with the goal of winning by maximizing the minimum score over all colors. In MO-Ingenious, we leave the utility wrapper up to the users and only return the vector of scores in each colour objective.

mo-same-game-v0

Any

Discrete / Discrete

[colors_n] (configurable)

-

MO-SameGame is a multi-objective, multi-agent variant of the single-player, single-objective turn-based puzzle game called SameGame Baier_2015. The original single-player, single-objective SameGame rewards the player with \(n^2\) points for removing any group of n tiles. MO-SameGame can extend this in two ways. Agents can either only get points for their own actions, leading to competition between them, or all rewards can be shared in ``team reward’’ mode. Additionally, points for every colour can be counted as separate objectives, allowing for different trade-offs between colours, or they can be accumulated in a single objective like in the default game variant, essentially providing a single-objective wrapper for the game.

+

MO-SameGame is a multi-objective, multi-agent variant of the single-player, single-objective turn-based puzzle game called SameGame Baier_2015. The original single-player, single-objective SameGame rewards the player with \(n^2\) points for removing any group of \(n\) tiles. MO-SameGame can extend this in two ways. Agents can either only get points for their own actions, leading to competition between them, or all rewards can be shared in ``team reward’’ mode. Additionally, points for every colour can be counted as separate objectives, allowing for different trade-offs between colours, or they can be accumulated in a single objective like in the default game variant, essentially providing a single-objective wrapper for the game.

diff --git a/0.1.0/release_notes/index.html b/0.1.0/release_notes/index.html index 7d890f70..742284fa 100644 --- a/0.1.0/release_notes/index.html +++ b/0.1.0/release_notes/index.html @@ -311,6 +311,7 @@

Release Notes

0.1.0

Released on 2024-05-03 - GitHub - PyPI

+

This version of the code has been used for the paper.

What's Changed