tesatory / hsp
Hierarchical Self-Play
☆21Updated 6 years ago
Alternatives and similar repositories for hsp:
Users that are interested in hsp are comparing it to the libraries listed below
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- ☆42Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Efficient Exploration via State Marginal Matching (2019)☆67Updated 5 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆37Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆84Updated 3 years ago
- ☆82Updated 3 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆48Updated 6 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 5 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 2 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆33Updated 6 years ago
- ☆31Updated 5 years ago
- Deep RL agents with PyTorch☆35Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆63Updated 5 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- Hindsight policy gradients☆45Updated 5 years ago
- ☆60Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 6 years ago