djbyrne / core_rlLinks
Repo of core reinforcement learning algorithms and explanations using pytorch lightning
☆8Updated 4 years ago
Alternatives and similar repositories for core_rl
Users that are interested in core_rl are comparing it to the libraries listed below
Sorting:
- Benchmarking RL generalization in an interpretable way.☆156Updated 2 months ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 4 months ago
- A collection of RL algorithms written in JAX.☆98Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆149Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆106Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆189Updated 2 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆152Updated last year
- Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELS☆51Updated 3 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆92Updated 10 months ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆216Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 10 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- Partially Observable Process Gym☆190Updated 11 months ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆97Updated 4 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 2 months ago
- A curated list of reinforcement learning environments and frameworks.☆51Updated 6 years ago
- ☆31Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 3 years ago
- Performances of Reinforcement Learning Agents☆53Updated 5 years ago
- impact-driven-exploration☆131Updated last year
- PAIRED in PyTorch 🔥☆60Updated 2 years ago
- ☆196Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- MultiTask Environments for Reinforcement Learning.☆76Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆200Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆115Updated 3 years ago
- Revisiting Rainbow☆75Updated 3 years ago