danielnbarbosa / angela
A modular deep reinforcement learning framework that supports a variety of algorithms, environments and models.
☆24Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for angela
- A collection of multi-agent reinforcement learning OpenAI gym environments☆44Updated 4 years ago
- Autoregressive policies for continuous control reinforcement learning☆28Updated 5 years ago
- Working directory for dynamics learning for experimental robots.☆56Updated 3 years ago
- ☆53Updated 6 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 2 years ago
- Guided-Meta Policy Search☆41Updated last year
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆54Updated 5 years ago
- Labs for understanding and coding Standard Reinforcement Learning concepts☆52Updated 5 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆35Updated 5 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- From simulation to real world using deep generative models☆17Updated 6 years ago
- Model-based reinforcement learning in TensorFlow☆53Updated 3 years ago
- ☆47Updated 4 years ago
- A simple Gridworld environment for Open AI gym☆24Updated 6 years ago
- Leave No Trace is an algorithm for safe reinforcement learning.☆15Updated 6 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated last year
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆37Updated last year
- Explore and find reinforcement learning environments in a list of 150+ open source environments.☆90Updated last year
- Code for the Reset-free Trial and Error learning paper (RTE) experiments☆10Updated 6 years ago
- Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.☆46Updated 5 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆29Updated 7 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆25Updated 3 years ago
- QMDP-Net implementation☆65Updated 4 years ago
- ☆53Updated 2 years ago
- Top down 2D self-driving car simulator built for running experiments in minutes, not weeks☆35Updated 3 months ago
- A PyTorch implementation of DeepMind's MCTSnet☆18Updated last year
- ☆72Updated last year
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago
- ☆97Updated last year