NVlabs / cule
CuLE: A CUDA port of the Atari Learning Environment (ALE)
☆237Updated 2 years ago
Alternatives and similar repositories for cule:
Users that are interested in cule are comparing it to the libraries listed below
- Keeping track of RL experiments☆162Updated 2 years ago
- ☆299Updated 4 months ago
- Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"☆171Updated 2 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- Paired Open-Ended Trailblazer (POET) and Enhanced POET☆247Updated 3 years ago
- impact-driven-exploration☆130Updated last year
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- Vectorized interface for reinforcement learning environments☆139Updated 2 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆247Updated last year
- Code for the paper "Phasic Policy Gradient"☆260Updated 2 years ago
- Velocity in deep-learning research☆277Updated 2 years ago
- OpenAI Gym wrapper for ViZDoom enviroments☆69Updated 3 years ago
- A Python interface for reinforcement learning environments☆362Updated 2 years ago
- A PyTorch Platform for Distributed RL☆747Updated 3 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆375Updated 2 years ago
- Modular framework for Reinforcement Learning in python☆172Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆198Updated 2 years ago
- DrQ: Data regularized Q☆415Updated 2 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆203Updated 4 years ago
- A PyTorch Library for Reinforcement Learning Research☆198Updated last year
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆472Updated last year
- Augmented environments with RL☆103Updated 6 years ago
- Pytorch Implementation of MuZero☆351Updated last year
- Real-World RL Benchmark Suite☆352Updated 4 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆147Updated 2 years ago
- A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions☆148Updated 3 years ago
- RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.☆282Updated 2 years ago
- DeepMind Alchemy task environment: a meta-reinforcement learning benchmark☆198Updated 2 years ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆218Updated 2 years ago
- safemutations☆145Updated 7 years ago