Feryal / craft-env
☆44Updated 6 years ago
Alternatives and similar repositories for craft-env:
Users that are interested in craft-env are comparing it to the libraries listed below
- krazy grid world☆25Updated 5 years ago
- ☆43Updated 8 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- ☆43Updated 6 years ago
- ☆35Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Modular multitask reinforcement learning with policy sketches☆108Updated 3 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Reinforcement Learning papers on exploration methods.☆19Updated 3 years ago
- ☆25Updated 6 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆31Updated 4 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- On the pitfalls of measuring emergent communication☆34Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)☆73Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆86Updated 5 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Efficient Exploration via State Marginal Matching (2019)☆68Updated 5 years ago
- PyTorch implementation of Memory Augmented Self-Play☆50Updated 4 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆45Updated last year
- Inferring beliefs about dynamics from behavior☆29Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago