PacktPublishing / Hands-On-Reinforcement-Learning-with-TensorFlow-TRFLLinks
Hands-On Reinforcement Learning with TensorFlow & TRFL
☆14Updated 4 years ago
Alternatives and similar repositories for Hands-On-Reinforcement-Learning-with-TensorFlow-TRFL
Users that are interested in Hands-On-Reinforcement-Learning-with-TensorFlow-TRFL are comparing it to the libraries listed below
Sorting:
- Great resources for learning optimal control☆18Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Labs for understanding and coding Standard Reinforcement Learning concepts☆59Updated 6 years ago
- Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)☆21Updated 4 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 4 years ago
- Udacity's Deep Reinforcement Learning Nano-Degree☆17Updated 4 years ago
- TensorFlow Reinforcement Learning Quick Start Guide, published by Packt☆48Updated 2 years ago
- ☆43Updated 4 years ago
- ☆90Updated 4 years ago
- Reinforcement Learning -- Imitation Learning, Behavior Cloning, DAgger (Data Aggregation)☆21Updated 7 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Logarithmic Reinforcement Learning☆28Updated 2 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- ☆71Updated 3 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 7 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 6 years ago
- Explore and find reinforcement learning environments in a list of 150+ open source environments.☆90Updated 2 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 7 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆38Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- From simulation to real world using deep generative models☆18Updated 7 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆40Updated 3 years ago
- Creating fixed-length vectors to describe RL/GA policies☆20Updated 4 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Pytorch implementation of state-of-the-art offline reinforcement learning algorithms.☆23Updated 3 years ago
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repository☆45Updated 5 years ago
- Working directory for dynamics learning for experimental robots.☆57Updated 4 years ago
- A curated list of awesome Model-based reinforcement learning resources☆95Updated 5 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆19Updated 6 years ago