code of IJCAI submission "Soft Hindsight Experience Replay"

Test implementation of land for the wheeledsim env

Library for Model Based RL

Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch

[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

ICLR Reproducibility Challenge for Discriminator-Actor-Critic

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights on all environments.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Code for the paper "Phasic Policy Gradient"

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Repository to store conditional imitation learning based AI that runs on CARLA.

A tensorflow implemention of ECCV2018 Paper：CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving

Reinforcement Learning in PyTorch

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

Modularized Implementation of Deep RL Algorithms in PyTorch

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Implementation of algorithms for continuous control (DDPG and NAF).

Framework for Easily Invertible Architectures

Deep Reinforcement Learning for Keras.

Implementation of Continuous Control RL Algorithms

pytorch implementation of DQN, NAF, DDPG

scripts for evaluation of contextual bandit algorithms

Pytorch implementation of "Latent Space Policies for Hierarchical Reinforcement Learning"