IouJenLiu / HTS-RLLinks
☆21Updated 4 years ago
Alternatives and similar repositories for HTS-RL
Users that are interested in HTS-RL are comparing it to the libraries listed below
Sorting:
- Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)☆14Updated 3 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- Change-Based Exploration Transfer☆36Updated 3 years ago
- ☆43Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 6 years ago
- ☆41Updated 3 years ago
- A simple and easy to use implementation of the soft actor-critic algorithm.☆15Updated 2 years ago
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Updated 3 years ago
- Sparse environment for MuJoCo suite (v2 and v3)☆8Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 5 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Single Episode Policy Transfer in Reinforcement Learning☆17Updated 2 years ago
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 4 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆20Updated 4 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- ☆25Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆37Updated 5 years ago
- Simplistic Pytorch Implementation of the Dreamer-RL☆21Updated last month
- Creating fixed-length vectors to describe RL/GA policies☆20Updated 3 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆24Updated 2 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago