intel / cerl
☆73Updated 2 years ago
Alternatives and similar repositories for cerl:
Users that are interested in cerl are comparing it to the libraries listed below
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 2 weeks ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated last year
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆236Updated 2 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆148Updated 4 years ago
- ☆97Updated last year
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 3 years ago
- ☆82Updated 3 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆166Updated last year
- Pytorch implementation of distributed deep reinforcement learning☆75Updated 2 years ago
- Keeping track of RL experiments☆162Updated 2 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆196Updated 2 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆83Updated 5 years ago
- A curated list of reinforcement learning environments and frameworks.☆50Updated 6 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago
- Augmented environments with RL☆103Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆226Updated 4 years ago
- ☆112Updated last year
- Code release for Learning with Opponent-Learning Awareness and variations.☆146Updated last year
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆159Updated 4 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 5 years ago
- Reinforcement learning algorithms in RLlib☆57Updated 10 months ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago