camigord / DRL_papernotesLinks
Notes and comments about Deep Reinforcement Learning papers
☆77Updated 7 years ago
Alternatives and similar repositories for DRL_papernotes
Users that are interested in DRL_papernotes are comparing it to the libraries listed below
Sorting:
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆71Updated 8 years ago
- [Reimplementation Ross et al 2011] An implementation of DAGGER using ConvNets for driving from pixels.☆82Updated 7 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Shared autonomy via deep reinforcement learning☆80Updated 2 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆42Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- ☆68Updated 4 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆101Updated 4 years ago
- Implementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch☆41Updated 7 years ago
- Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.a…☆50Updated 5 years ago
- Guided-Meta Policy Search☆39Updated 2 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆38Updated 6 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Code for hierarchical imitation learning and reinforcement learning☆297Updated 7 years ago
- ☆49Updated 5 years ago
- ☆54Updated 7 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- Official implementation of ICML paper Imitating Latent Policies from Observation☆75Updated 6 years ago
- ☆13Updated 8 years ago
- Simplified version of "State Representation Learning for Control: An Overview" bibliography☆34Updated 6 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 8 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 6 years ago
- PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)☆38Updated 4 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆50Updated 6 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆76Updated 5 years ago