facebookresearch / impact-driven-exploration
impact-driven-exploration
☆130Updated last year
Alternatives and similar repositories for impact-driven-exploration:
Users that are interested in impact-driven-exploration are comparing it to the libraries listed below
- OpenAI Gym wrapper for the DeepMind Control Suite☆210Updated 7 months ago
- PAIRED in PyTorch 🔥☆56Updated last year
- Convert DeepMind Control Suite to OpenAI gym environments.☆84Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated last year
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆165Updated 2 years ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆188Updated 3 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆234Updated 2 years ago
- Revisiting Rainbow☆73Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆146Updated 3 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆193Updated 2 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆68Updated last year
- ☆110Updated last year
- ☆85Updated 4 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆157Updated 3 years ago
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- ☆191Updated last year
- Evaluating long-term memory of reinforcement learning algorithms☆138Updated last year
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 5 years ago
- Soft Actor-Critic☆142Updated 6 years ago
- Efficient Exploration via State Marginal Matching (2019)☆67Updated 5 years ago
- rllab's viskit with some added features☆73Updated last year
- OpenAI Gym wrapper for ViZDoom enviroments☆68Updated 3 years ago
- MultiTask Environments for Reinforcement Learning.☆74Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆92Updated 2 years ago
- ☆293Updated 3 weeks ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 2 years ago