ruizhaogit / mepLinks
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
☆24Updated 6 years ago
Alternatives and similar repositories for mep
Users that are interested in mep are comparing it to the libraries listed below
Sorting:
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆35Updated 6 years ago
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆30Updated 6 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- ☆43Updated 7 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆68Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- ☆25Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 6 years ago
- ☆62Updated 7 years ago
- ☆54Updated last year
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- ☆85Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 8 months ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆34Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- ☆17Updated last year
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- ☆40Updated 3 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago