Load motion capture data into Roboschool/MuJoCo
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Updated
Oct 28, 2017 - Python
Load motion capture data into Roboschool/MuJoCo
roboschool environment for baxter ball striking
TensorFlow implementations of different reinforcement learning algorithms.
A python package for our RaspiBot robot
docker image for reinforcement learning including Open AI roboschool
[Book] :- Andrea Lonza - Reinforcement Learning Algorithms with Python_ Learn, understand, and develop smart algorithms for addressing AI challenges-Packt Publishing (2019)
WalkYTo-rl-gym Environment. Walk Yourself, Toddler! Toddlers can learn by deep reinforcement learning now.
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
Keras Implementation of TD3(Twin Delayed DDPG) with PER(Prioritized Experience Replay) option on OpenAI gym framework
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Docker hub for easily setting up reinforcement learning research environment
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Keras Implementation of DDPG(Deep Deterministic Policy Gradient) with PER(Prioritized Experience Replay) option on OpenAI gym framework
Neural Ordinary Differential Equations for Reinforcement Learning
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