zsdonghao / Imitation-Learning-Dagger-Torcs
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
☆71Updated 7 years ago
Related projects: ⓘ
- Notes and comments about Deep Reinforcement Learning papers☆74Updated 6 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆40Updated 6 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆44Updated 4 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆48Updated 5 years ago
- Shared autonomy via deep reinforcement learning☆74Updated last year
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 5 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆64Updated 5 years ago
- [Reimplementation Ross et al 2011] An implementation of DAGGER using ConvNets for driving from pixels.☆71Updated 6 years ago
- ☆23Updated this week
- Implementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch☆41Updated 6 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 4 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 7 years ago
- reimplementation of the ddpg algorithm using tensorflow☆38Updated 7 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆54Updated 5 years ago
- ☆11Updated this week
- ☆20Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆92Updated 2 years ago
- ☆11Updated last year
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆15Updated 5 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆28Updated 7 years ago
- ☆71Updated last year
- PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)☆36Updated 3 years ago
- Modified tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'☆22Updated 7 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆66Updated 4 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆44Updated 9 years ago
- PyTorch implementation of Proximal Policy Optimization☆50Updated 6 years ago
- Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, …☆36Updated 6 years ago
- ☆54Updated 6 years ago