lerrel / rllab-adv
Code to train RL agents along with Adversarial distrubance agents
☆63Updated 7 years ago
Alternatives and similar repositories for rllab-adv:
Users that are interested in rllab-adv are comparing it to the libraries listed below
- Gym environments modified with adversarial agents☆35Updated 7 years ago
- ☆81Updated 3 years ago
- ☆97Updated last year
- OpenAI Gym Wrapper for DeepMind Control Suite☆72Updated 3 years ago
- ☆43Updated 7 years ago
- Efficient Exploration via State Marginal Matching (2019)☆67Updated 5 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- ☆60Updated 6 years ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- ☆91Updated last year
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- ☆65Updated 10 months ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Hierarchical Deep RL Network☆31Updated 7 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 6 years ago
- Proximal Policy Option-Critic☆22Updated 6 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆84Updated 4 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆21Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆96Updated 4 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago