This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
☆65Sep 6, 2023Updated 3 years ago
Alternatives and similar repositories for adversarially-motivated-intrinsic-goals
Users that are interested in adversarially-motivated-intrinsic-goals are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- impact-driven-exploration☆137Oct 3, 2023Updated 3 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆104Mar 24, 2023Updated 3 years ago
- CREATE Environment for long-horizon physics-puzzle tasks with diverse tools☆18Nov 22, 2022Updated 3 years ago
- On the pitfalls of measuring emergent communication☆35Mar 12, 2019Updated 7 years ago
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆28Aug 19, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Aug 6, 2019Updated 7 years ago
- Code for [NeurIPS'2019 Spotlight] Policy Continuation with Hindsight Inverse Dynamics☆15Jan 7, 2020Updated 6 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Sep 16, 2021Updated 5 years ago
- Analogous Safe-state Exploration (ASE) is an algorithm for provably safe and optimal exploration in MDPs with unknown, stochastic dynamic…☆10Mar 22, 2021Updated 5 years ago
- The NetHack Learning Environment☆986May 6, 2024Updated 2 years ago
- [ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"☆234Dec 27, 2022Updated 3 years ago
- ☆13Apr 12, 2021Updated 5 years ago
- Evolution of Discrete data with Reinforcement Learning☆13Dec 8, 2019Updated 6 years ago
- Anti exploration in offline reinforcement learning☆11May 17, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Repository for ML Reproducibility Challenge 2020 for the Neurips paper, "The Value Equivalence Principle for Model-Based Reinforcement Le…☆18Apr 13, 2021Updated 5 years ago
- Explore and Control with Adversarial Surprise☆10Jul 20, 2021Updated 5 years ago
- ☆19Mar 1, 2023Updated 3 years ago
- Variational Reinforcement Learning☆18Jul 25, 2024Updated 2 years ago
- A DDPM implementation in Jax for continuous space modeling.☆10Apr 24, 2023Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆96Jun 11, 2021Updated 5 years ago
- ☆25May 6, 2021Updated 5 years ago
- ☆47Feb 12, 2021Updated 5 years ago
- ☆40Nov 23, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- FeedbackQA: Improving Question Answering Post-Deployment with Interactive Feedback☆12Jul 13, 2022Updated 4 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Apr 28, 2020Updated 6 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,533Oct 15, 2026Updated 2 weeks ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆120Dec 13, 2019Updated 6 years ago
- Docker containers of baseline agents for the Crafter environment☆30Dec 14, 2021Updated 4 years ago
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆83May 13, 2024Updated 2 years ago
- [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.☆58Mar 24, 2023Updated 3 years ago
- Utility functions for weights and biases (wandb).☆11Sep 17, 2024Updated 2 years ago
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆518Feb 12, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Public Release of Plan2vec Implementation in pyTorch☆57Oct 28, 2022Updated 4 years ago
- A videogame made with PyGame turned into an Open AI Gym Learning Environment for Reinforcement Learning agents.☆14Jan 3, 2023Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Oct 6, 2021Updated 5 years ago
- Hierarchical Self-Play☆21Dec 5, 2018Updated 7 years ago
- ☆23Aug 19, 2022Updated 4 years ago
- Code for paper "Hierarchically Decoupled Imitation for Morphological Transfer"☆17Mar 24, 2023Updated 3 years ago
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆781Mar 2, 2026Updated 7 months ago