catalyst-team / catalyst-rlLinks
☆47Updated 3 years ago
Alternatives and similar repositories for catalyst-rl
Users that are interested in catalyst-rl are comparing it to the libraries listed below
Sorting:
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago
- impact-driven-exploration☆131Updated last year
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆150Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆77Updated last year
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 5 years ago
- ☆35Updated 5 years ago
- ☆86Updated 4 years ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆221Updated 2 years ago
- A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments☆66Updated 3 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Hindsight policy gradients☆45Updated 5 years ago
- Benchmarking TD3 and DDPG on PyBullet☆53Updated 6 years ago
- rllab's viskit with some added features☆73Updated 2 years ago
- ☆113Updated 2 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆98Updated 4 years ago
- ☆84Updated 4 years ago
- A standalone library to randomize various OpenAI Gym Environments☆63Updated 5 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆217Updated last year
- ☆123Updated last year
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- Proto-RL: Reinforcement Learning with Prototypical Representations☆82Updated 3 years ago
- OpenAI Gym Wrapper for DeepMind Control Suite☆71Updated 3 years ago
- implementation of our self-guided and self-regularized actor-critic algorithm☆30Updated 2 years ago
- A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions☆149Updated 3 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Soft Actor-Critic☆151Updated 7 years ago
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 5 years ago