lerrel / rllab-advLinks
Code to train RL agents along with Adversarial distrubance agents
☆66Updated 8 years ago
Alternatives and similar repositories for rllab-adv
Users that are interested in rllab-adv are comparing it to the libraries listed below
Sorting:
- Gym environments modified with adversarial agents☆36Updated 8 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- ☆92Updated last year
- ☆99Updated 2 years ago
- ☆62Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- ☆43Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆153Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- ☆43Updated 8 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- ☆113Updated 5 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆99Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- ☆84Updated 4 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)☆38Updated 4 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 3 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago