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scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

school_keep_pppoe_and_seed_ip

self-imitation-learning

ICML 2018 Self-Imitation Learning

self-paced-rl

Implementation of the Self Paced Reinforcement Learning Experiments

selfimitationdiverse

Code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)

sept

Single Episode Policy Transfer in Reinforcement Learning

sequential_social_dilemma_games

Repo for reproduction of sequential social dilemmas

simple-reinforcement-learning

slbo

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

smac

SMAC: The StarCraft Multi-Agent Challenge

smac_full_action_space

socialrobot

softlearning

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

sonic-on-ray

Training Sonic with RLlib

spdl

Source code for the Self-Paced Deep Reinforcement Learning Experiments

spectral_inference_networks

Implementation of Spectral Inference Networks, ICLR 2019

spriteworld

Spriteworld: a flexible, configurable python-based reinforcement learning environment

staralgo

A squad movement planning library for StarCraft AI using Monte Carlo Tree Search and Negamax

starcraft-ai

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

starcraft_defogger

Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger

startcraft_pysc2_minigames

Startcraft AI research with DeepMind pysc2 python library .mini-games and agents.

state-marginal-matching

subtask-graph-execution

super-mario-bros-rl

This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros

supervised_policy_update

Code to reproduce Supervised Policy Update (ICLR 2019)

surreal

Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab

sv-rl

[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning

symmetrycurriculumlocomotion

symplectic-gradient-adjustment

A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"

t-rex-irl

Trajectory-ranked Reward EXtrapolation (T-REX) for Inverse Reinforcement Learning - A Tensorflow implementation trained on OpenAI Gym environments