StaminaTang's repositories
acme
A library of reinforcement learning components and agents
active-domainrand
Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
awesome-offline-rl
An index of algorithms for offline reinforcement learning (offline-rl)
batch_rl
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
d3rlpy
A data-driven deep reinforcement learning library as an out-of-the-box tool
d4rl-atari
Datasets for Data-driven Deep Reinforcement Learning with Atari (wrapper for datasets released by Google)
deep-RL-elements
Deep RL algorithm in pytorch
ESRL
Code for Expert Supervised Reinforcement Learning
habitat-challenge
Code for the habitat challenge
habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
HebbianMetaLearning
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
lagrangian_nns
Lagrangian Neural Networks
mbpo
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
MER
Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)
mjrl
Reinforcement learning algorithms for MuJoCo tasks
mopo
Code for MOPO: Model-based Offline Policy Optimization
neural-tangents
Fast and Easy Infinite Neural Networks in Python
prob_mbrl
A library of probabilistic model based RL algorithms in pytorch
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
rl-exploration
Reinforcement Learning papers on exploration methods.
softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
SSRL
Self-Supervised Reinforcement Learning
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
tf2rl
TensorFlow2 Reinforcement Learning