learnables / cherry
A PyTorch Library for Reinforcement Learning Research
☆196Updated last year
Related projects ⓘ
Alternatives and complementary repositories for cherry
- Code for "Unsupervised State Representation Learning in Atari"☆242Updated last year
- Clone of OpenAI's Spinning Up in PyTorch☆146Updated 2 years ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆365Updated 3 years ago
- DrQ: Data regularized Q☆407Updated last year
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆373Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆232Updated 2 years ago
- ☆389Updated 5 years ago
- Velocity in deep-learning research☆276Updated last year
- List of competitions related to Reinforcement Learning☆347Updated 10 months ago
- Real-World RL Benchmark Suite☆347Updated 4 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆186Updated last year
- Keeping track of RL experiments☆159Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆192Updated 2 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆207Updated last year
- A PyTorch Platform for Distributed RL☆739Updated 3 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆431Updated last year
- Multitask Environments for RL☆274Updated 3 years ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆197Updated 3 years ago
- ☆286Updated last year
- RAD: Reinforcement Learning with Augmented Data☆401Updated 3 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆205Updated 6 months ago
- RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features☆139Updated 5 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆157Updated 2 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆184Updated last year
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆473Updated last year
- Random Network Distillation pytorch☆242Updated 5 years ago
- CuLE: A CUDA port of the Atari Learning Environment (ALE)☆232Updated 2 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆572Updated 4 years ago