vitchyr / viskitLinks
rllab's viskit with some added features
☆73Updated 2 years ago
Alternatives and similar repositories for viskit
Users that are interested in viskit are comparing it to the libraries listed below
Sorting:
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆153Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- ☆139Updated 6 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆78Updated 2 years ago
- Hindsight policy gradients☆46Updated 5 years ago
- ☆44Updated 7 years ago
- ☆114Updated 2 years ago
- OpenAI Gym Wrapper for DeepMind Control Suite☆74Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆100Updated 5 years ago
- ☆66Updated 5 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆129Updated 6 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆226Updated last year
- ☆99Updated 2 years ago
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆35Updated 7 years ago
- accompanying code for neurips submission "Goal-conditioned Imitation Learning"☆73Updated 2 years ago
- Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)☆74Updated 6 years ago
- Multitask Environments for RL☆280Updated 4 years ago
- ☆92Updated 2 years ago
- ☆68Updated 4 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆88Updated 6 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- ☆119Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆191Updated 4 years ago
- ☆85Updated 4 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆51Updated 3 years ago