mbcd

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in conti...

sac-plus

Soft Actor-Critic implementation with SOTA model-free extension (REDQ) and SOTA model-based exten...

CLsurvey

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning meth...

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in ...

sumo-rl

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasi...

ContinualPrototypeEvolution

Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes...

rl-agents

Implementations of Reinforcement Learning and Planning algorithms

inference-based-rl

Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforceme...

HighwayEnv

A minimalist environment for decision-making in autonomous driving

sfols

Code for the paper Optimistic Linear Support and Successor Features as a Basis for Optimal Policy...

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

llama-qrlhf

Implementation of the Llama architecture with RLHF + Q-learning

MAML-Pytorch-RL

online_ema

Code for the CoLLAs 2023 paper "Improving Online Continual Learning Performance and Stability Wit...

linear-rl

Reinforcement Learning with linear function approximation