Official code of the paper "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts" at ICLR2024

Clean PyTorch implementations of imitation and reward learning algorithms

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"

Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).

Code submission for the paper : Environment Design for Inverse Reinforcement Learning

Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]

Official code release for TMLR 2022 paper SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning

Constrained optimization toolkit for PyTorch

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…

Codebase of Santara et. al., RAIL: Risk Averse Imitation Learning, Published in AAMAS 2018

Learning Lyapunov functions and control policies of nonlinear dynamical systems

Contains the code for the paper Neural Lyapunov Redesign published at L4DC 2021.

Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Distributional Soft Actor Critic

Notebooks about Bayesian methods for machine learning

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-play…

Tutorials on learning and using successor representations.