kenjyoung / MinAtar
☆299Updated 4 months ago
Alternatives and similar repositories for MinAtar:
Users that are interested in MinAtar are comparing it to the libraries listed below
- OpenAI Gym wrapper for the DeepMind Control Suite☆215Updated 11 months ago
- ☆341Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆199Updated 2 years ago
- Code for the paper "Phasic Policy Gradient"☆261Updated 2 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆249Updated last year
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆301Updated last year
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- ☆226Updated 5 months ago
- Partially Observable Process Gym☆187Updated 10 months ago
- Benchmarking RL generalization in an interpretable way.☆154Updated last month
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆188Updated 2 years ago
- PyTorch implementation of DreamerV2 model-based RL algorithm☆217Updated 2 years ago
- impact-driven-exploration☆131Updated last year
- A Python interface for reinforcement learning environments☆364Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 3 months ago
- Multitask Environments for RL☆276Updated 3 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆189Updated 2 years ago
- ☆195Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆142Updated last year
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆317Updated 8 months ago
- A customizable framework to create maze and gridworld environments☆265Updated 6 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆304Updated 2 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆446Updated last year
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆149Updated 4 years ago
- Gridworld for MARL experiments☆139Updated 4 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆160Updated 3 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆239Updated 2 years ago
- Benchmarking the Spectrum of Agent Capabilities☆435Updated last year
- (NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation☆218Updated 2 years ago