pirastro

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

garage

A toolkit for reproducible reinforcement learning research.

HollowKnight_RL

Playing Hollow Knight with reinforcement learning.

DQN_HollowKnight

decision-tree-cart

Simple implementation of CART algorithm to train decision trees

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

continual_world

replay-based-recurrent-rl

Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"

CompoSuite

Official release of CompoSuite, a compositional RL benchmark

RLBench

A large-scale benchmark and learning environment.

Metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

CausalWorld

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

meta_rl

Meta RL codebase for Unstable Baselines

CORRO

CORRO code

varibad

Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)

tianshou

An elegant PyTorch deep reinforcement learning library.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

TD3_BC

Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL