epignatelli / discovering-reinforcement-learning-algorithmsLinks
A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. and Silver, D., 2020. Discovering reinforcement learning algorithms. Advances in Neural Information Processing Systems, 33.
☆22Updated 4 years ago
Alternatives and similar repositories for discovering-reinforcement-learning-algorithms
Users that are interested in discovering-reinforcement-learning-algorithms are comparing it to the libraries listed below
Sorting:
- An implementation of MuZero in JAX.☆56Updated 2 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- krazy grid world☆25Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Variational Reinforcement Learning☆16Updated last year
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆26Updated 8 months ago
- Generalised UDRL☆37Updated 3 years ago
- General Modules for JAX☆66Updated 4 months ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 3 years ago
- ☆22Updated 4 months ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆88Updated 4 years ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…☆41Updated 2 years ago
- GPT implementation in Flax☆18Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆57Updated 3 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 3 weeks ago
- Accelerated replay buffers in JAX☆43Updated 2 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Implementation of Proximal Policy Optimization in Jax+Flax☆20Updated 2 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- ☆31Updated 4 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆36Updated 4 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 4 years ago