theophilegervet / options-hierarchical-rl
☆25Updated 7 years ago
Alternatives and similar repositories for options-hierarchical-rl:
Users that are interested in options-hierarchical-rl are comparing it to the libraries listed below
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 5 years ago
- NeurIPS Reproducibility Challenge 2019☆20Updated 5 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 5 years ago
- ☆16Updated 5 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 6 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆88Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- ☆74Updated 9 months ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 4 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 2 years ago
- Hierarchical Online Planning and Reinforcement Learning on Taxi☆30Updated 7 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 5 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆46Updated 4 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- A standalone library to randomize various OpenAI Gym Environments☆62Updated 5 years ago
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆33Updated 6 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆48Updated 2 years ago
- ☆60Updated 6 years ago
- ☆31Updated 5 years ago