ReLAx - Reinforcement Learning Applications Library
Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations [ECC'24]
Study Model-Based Policy Optimization by varying the model estimator classes (e.g Decision Trees vs MLP)
Example MBPO implementation with ReLAx
A reinforcement learning project exploring different RL algorithms. Namely: QLearning, DQN, PPO, TreeQN, SAVE,
From-scratch benchmark of SAC, MBPO & MACURA on Gymnasium MuJoCo — uncertainty-aware model-based RL (ICML 2024 reimplementation).
A collection of deep reinforcement learning (DRL) algorithms implemented from scratch in PyTorch, spanning value-based, policy-based, and model-based methods, for self-study.
Model-Based Policy Optimization in JAX/FLAX/SBX
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