Skip to content

google-deepmind/ddgc

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DDGC: Dense and Diverse Goal Coverage

Code for training and evaluating RL agents on multi-goal, non-goal-conditioned, continuing environments built on Brax.

Environments

Four environments with sparse binary rewards (+1 at goal, 0 otherwise) and no goal information in observations:

Environment Obs Dim Action Dim Goals Threshold
ant 27 8 10 0.2 m
reacher 6 2 10 0.01 m
pusher 20 7 5 0.03 m
half_cheetah 17 6 6 0.15 m

Agents

Agent Directory Description
SAC agents/sac/ Soft Actor-Critic with automatic entropy tuning
SAC+PC agents/sac_pc/ SAC + SimHash pseudo-count intrinsic reward
SMM agents/smm/ State Marginal Matching via fictitious play
DDGC agents/ddgc/ RND exploration → iterative policy mixture via Fitted AC
GFlowNet agents/gflownet/ Trajectory balance + critic Q-value maximization

Installation

pip install jax jaxlib brax flax optax orbax-checkpoint absl-py numpy

Usage

Each agent has a run.sh script. Example:

# Train DDGC agent on Ant environment
bash agents/ddgc/run.sh --env_name=ant --total_env_steps=5000000 --seed=0

# Train SAC agent on Reacher environment
bash agents/sac/run.sh --env_name=reacher --total_env_steps=1000000 --seed=0

All agents accept these common flags:

Flag Default Description
--env_name ant Environment: ant, reacher, pusher, half_cheetah
--seed 0 Random seed
--total_env_steps 5000000 Total environment steps
--num_envs 64 Parallel environment count
--episode_length 500 Episode length
--checkpoint_dir '' Directory for checkpoints

Citing this work

@article{ddgc2026,
      title={DDGC: Dense and Diverse Goal Coverage},
      author={Sagalpreet Singh and Rishi Saket and Aravindan Raghuveer},
      year={2026},
}

License and disclaimer

Copyright 2026 Google LLC

All software is licensed under the Apache License, Version 2.0 (Apache 2.0); you may not use this file except in compliance with the Apache 2.0 license. You may obtain a copy of the Apache 2.0 license at: https://www.apache.org/licenses/LICENSE-2.0

All other materials are licensed under the Creative Commons Attribution 4.0 International License (CC-BY). You may obtain a copy of the CC-BY license at: https://creativecommons.org/licenses/by/4.0/legalcode

Unless required by applicable law or agreed to in writing, all software and materials distributed here under the Apache 2.0 or CC-BY licenses are distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the licenses for the specific language governing permissions and limitations under those licenses.

This is not an official Google product.

About

No description, website, or topics provided.

Resources

License

Contributing

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors