ben-eysenbach / sacLinks
Soft Actor-Critic
☆153Updated 7 years ago
Alternatives and similar repositories for sac
Users that are interested in sac are comparing it to the libraries listed below
Sorting:
- ☆92Updated last year
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- ☆62Updated 7 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- ☆114Updated 2 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆152Updated 4 years ago
- rllab's viskit with some added features☆73Updated 2 years ago
- ☆201Updated 2 years ago
- ☆43Updated 6 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆221Updated last year
- ☆138Updated 6 years ago
- ☆133Updated last year
- Hindsight policy gradients☆45Updated 5 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 7 months ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆162Updated 3 years ago
- ☆54Updated last year
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆79Updated 3 years ago
- ☆84Updated 4 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
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆150Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆140Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆187Updated 3 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆89Updated 4 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
- ☆51Updated 2 years ago
- Multitask Environments for RL☆280Updated 4 years ago
- ☆53Updated 5 years ago
- impact-driven-exploration☆132Updated last year