manuelsh / minerl-docker
Docker for the minerl gym environment with Jupyter, PyTorch and CUDA drivers installed
☆18Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for minerl-docker
- Efficient Exploration via State Marginal Matching (2019)☆66Updated 5 years ago
- rllab's viskit with some added features☆73Updated last year
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆81Updated 3 years ago
- Soft Actor-Critic☆141Updated 6 years ago
- impact-driven-exploration☆128Updated last year
- Hindsight policy gradients☆43Updated 4 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- ☆110Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆162Updated 5 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆83Updated 4 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- The submission template for the MineRL Competition @ NeurIPS 2021. Clone this to make a new submission!☆92Updated 3 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆205Updated 6 months ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions☆146Updated 3 years ago
- Revisiting Rainbow☆73Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆143Updated 3 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 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
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆36Updated 4 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆52Updated 7 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆123Updated 5 years ago
- Benchmarking TD3 and DDPG on PyBullet☆52Updated 5 years ago
- ☆190Updated last year
- ☆52Updated 4 years ago
- ☆130Updated 5 years ago
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆33Updated 5 years ago
- A curated list of reinforcement learning environments and frameworks.☆50Updated 5 years ago
- ☆28Updated last year