microsoft / oac-explore
Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
☆70Updated last year
Alternatives and similar repositories for oac-explore:
Users that are interested in oac-explore are comparing it to the libraries listed below
- ☆42Updated 6 years ago
- ☆60Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated last month
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- ☆91Updated last year
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆147Updated 3 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 2 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆37Updated 5 years ago
- Soft Actor-Critic☆144Updated 7 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆124Updated 4 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆237Updated 2 years ago
- ☆112Updated last year
- Revisiting Rainbow☆74Updated 3 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆92Updated 3 weeks ago
- ☆83Updated 4 years ago
- rllab's viskit with some added features☆73Updated last year
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- ☆31Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- ☆98Updated 2 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- impact-driven-exploration☆130Updated last year