MishaLaskin / torchingup
TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement OpenAI’s SpinningUp repository, which contains similar algorithms implemented in Tensorflow.
☆42Updated 2 years ago
Alternatives and similar repositories for torchingup:
Users that are interested in torchingup are comparing it to the libraries listed below
- Clone of OpenAI's Spinning Up in PyTorch☆146Updated 2 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆199Updated 3 years ago
- Revisiting Rainbow☆73Updated 3 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆84Updated 4 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆86Updated 6 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- impact-driven-exploration☆130Updated last year
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated last year
- Deep Reinforcement Learning for Continuous Control in PyTorch☆93Updated 3 years ago
- ☆110Updated last year
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆91Updated 3 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆36Updated 5 years ago
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- MultiTask Environments for Reinforcement Learning.☆74Updated 2 years ago
- ☆47Updated 4 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 5 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆83Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆67Updated 5 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 2 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆67Updated last year
- ☆97Updated last year
- ☆81Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆146Updated 3 years ago