Code for Environment Probing Interaction Policies [ICLR 2019]
☆29Jun 17, 2019Updated 6 years ago
Alternatives and similar repositories for EPI
Users that are interested in EPI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for paper "Hierarchically Decoupled Imitation for Morphological Transfer"☆17Mar 24, 2023Updated 3 years ago
- (NeurIPS 2018) Hardware Conditioned Policies for Multi-Robot Transfer Learning☆20Apr 8, 2019Updated 7 years ago
- Code for Automatic Curriculum Learning through Value Disagreement☆31Jun 15, 2020Updated 5 years ago
- ☆19Nov 7, 2020Updated 5 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Jun 12, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆20Nov 26, 2020Updated 5 years ago
- ☆15Sep 25, 2019Updated 6 years ago
- The code accompaniment for the CoRL 2020 paper: A User's Guide to Calibrating Robotics Simulators (https://arxiv.org/abs/2011.08985), fro…☆31Nov 20, 2020Updated 5 years ago
- Python3 ROS Interface to Rethink Sawyer Robots with OpenAI Gym Compatibility☆62Apr 13, 2019Updated 7 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Dec 8, 2022Updated 3 years ago
- ☆17Nov 16, 2020Updated 5 years ago
- ☆26Mar 16, 2023Updated 3 years ago
- Reinforcement Learning in PyTorch☆29Feb 26, 2021Updated 5 years ago
- Collection of reinforcement learning algorithms☆16Sep 29, 2025Updated 6 months ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 3 years ago
- PyTorch implementation of DARLA preprocessing models☆11Jan 30, 2018Updated 8 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14May 1, 2018Updated 7 years ago
- ☆13Mar 16, 2023Updated 3 years ago
- ☆24Jan 26, 2024Updated 2 years ago
- Implementation of the "Sim-to-Real Transfer of Robotic Control with Dynamics Randomization" paper☆13Sep 8, 2021Updated 4 years ago
- Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings☆14Nov 22, 2022Updated 3 years ago
- Library to compare and evaluate reward functions☆68Oct 23, 2023Updated 2 years ago
- ☆58Jun 30, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- OpenAI Gym environments using DART☆26Feb 27, 2023Updated 3 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆37Dec 7, 2020Updated 5 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆29Mar 27, 2021Updated 5 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆44Nov 6, 2023Updated 2 years ago
- A repository of various URDFs and assets needed for robot manipulation☆61Apr 10, 2026Updated last week
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆157Aug 31, 2021Updated 4 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Dec 1, 2019Updated 6 years ago
- ☆32Oct 3, 2023Updated 2 years ago
- Code for Policy Consolidation for Continual Reinforcement Learning☆10May 12, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Transporter implementation in PyTorch☆20Jul 24, 2019Updated 6 years ago
- MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"☆11Apr 10, 2017Updated 9 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆117Dec 13, 2019Updated 6 years ago
- Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"☆19Oct 26, 2018Updated 7 years ago
- Code for the paper Task Agnostic Morphology Evolution.☆20May 25, 2021Updated 4 years ago
- Multi Task RL Baselines☆264Dec 31, 2021Updated 4 years ago
- Automatically Composing Representation Transformations as a Means for Generalization☆24Jun 3, 2019Updated 6 years ago