russellmendonca / maesn_suiteLinks
☆43Updated 6 years ago
Alternatives and similar repositories for maesn_suite
Users that are interested in maesn_suite are comparing it to the libraries listed below
Sorting:
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- ☆62Updated 7 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆35Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 3 years ago
- Soft Actor-Critic☆154Updated 7 years ago
- ☆84Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)☆73Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Updated 6 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆50Updated 6 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆20Updated 4 years ago
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆35Updated 6 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 6 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- ☆92Updated last year
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 4 years ago
- rllab's viskit with some added features☆73Updated 2 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 5 years ago