CrazySssst's repositories
adversarially-motivated-intrinsic-goals
This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
APRL
Efficient Real-World RL for Legged Locomotion via Adaptive Policy Regularization
atari-representation-learning
Code for "Unsupervised State Representation Learning in Atari"
gym-minigrid
Minimalistic gridworld package for OpenAI Gym
iv_rl
IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
sac-rnd
Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023
single-parameter-fit
Real numbers, data science and chaos: How to fit any dataset with a single parameter
softqlearning
Reinforcement Learning with Deep Energy-Based Policies
tomorrow-theme
Tomorrow Theme the precursor to Base16 Theme
TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow: