microsoft / oac-exploreLinks
Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
☆69Updated 2 years ago
Alternatives and similar repositories for oac-explore
Users that are interested in oac-explore are comparing it to the libraries listed below
Sorting:
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆128Updated 4 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- ☆92Updated last year
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆193Updated 2 years ago
- Soft Actor-Critic☆155Updated 7 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆196Updated 2 years ago
- ☆43Updated 6 years ago
- ☆114Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆244Updated 3 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 7 months ago
- ☆84Updated 4 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- ☆62Updated 7 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆153Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆189Updated 3 years ago
- ☆131Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated 4 months ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆150Updated 4 years ago
- ☆113Updated 5 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- ☆201Updated 2 years ago
- ☆99Updated 2 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆141Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago