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Contents:
Installation
Tutorial
Setup the Environment
Create a Dataset
Create an Experiment
Track the Results
Configure
Customize
Multi-GPU and Asynchronous Training
Examples
Meta Frozen Lake
Basic Gymnasium
Gymnax
POPGym
T-Maze
Dark Room Key Door
Symbolic DM Alchemy
Meta-World ML1/ML10/ML45
Multi-Game Atari
Multi-Game ProcGen
Multi-Task BabyAI
XLand Mini-Grid
HalfCheetah(v4)-Velocity
MazeRunner HER
D4RL
API Reference
amago.agent
amago.cli_utils
amago.envs
amago.envs.amago_env
amago.envs.builtin
amago.envs.builtin.alchemy
amago.envs.builtin.ale_retro
amago.envs.builtin.babyai
amago.envs.builtin.gymnax_envs
amago.envs.builtin.half_cheetah_v4_vel
amago.envs.builtin.mazerunner
amago.envs.builtin.metaworld_ml
amago.envs.builtin.popgym_envs
amago.envs.builtin.procgen_envs
amago.envs.builtin.tmaze
amago.envs.builtin.toy_gym
amago.envs.builtin.xland_minigrid
amago.envs.env_utils
amago.envs.exploration
amago.experiment
amago.hindsight
amago.loading
amago.nets
amago.nets.actor_critic
amago.nets.cnn
amago.nets.ff
amago.nets.goal_embedders
amago.nets.policy_dists
amago.nets.traj_encoders
amago.nets.transformer
amago.nets.tstep_encoders
amago.nets.utils
amago.utils
Citation
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