Shubham Subhnil's starred repositories
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
ai-deadlines
:alarm_clock: AI conference deadline countdowns
dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
HighwayEnv
A minimalist environment for decision-making in autonomous driving
PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
FidelityFX-FSR
FidelityFX Super Resolution
DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
dreamerv3-torch
Implementation of Dreamer v3 in pytorch.
CausalWorld
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
continual_rl
Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.
gym-windy-gridworlds
Windy GridWorlds environments compatible with OpenAI gym.