chanb / rl_sandbox_public
PyTorch implementation of (Deep) Reinforcement Learning (RL) algorithms
☆22Updated 2 years ago
Alternatives and similar repositories for rl_sandbox_public:
Users that are interested in rl_sandbox_public are comparing it to the libraries listed below
- ☆45Updated last year
- Simple maze environments using mujoco-py☆54Updated last year
- Advantage weighted Actor Critic for Offline RL☆48Updated 2 years ago
- ☆53Updated 3 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆67Updated 6 months ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆63Updated 7 months ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆35Updated 2 years ago
- ☆23Updated 11 months ago
- RL Algorithms for Visual Continuous Control☆32Updated last year
- ☆23Updated 2 years ago
- ☆40Updated last year
- ☆31Updated 3 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆45Updated 4 years ago
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆49Updated 2 years ago
- ☆53Updated last year
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆51Updated 3 years ago
- Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21☆23Updated 3 years ago
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆54Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆68Updated last year
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated last year
- A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.☆17Updated 4 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆50Updated 2 years ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆19Updated last year
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆44Updated last year
- This repository is a collection of widely used self-supervised auxiliary losses used for learning representations in reinforcement learni…☆14Updated last year
- ☆27Updated 4 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year
- Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines☆49Updated 2 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆34Updated 2 years ago