subho406 / Recurrent-PPO-JaxLinks
Implementation of Proximal Policy Optimization in Jax+Flax
☆20Updated 2 years ago
Alternatives and similar repositories for Recurrent-PPO-Jax
Users that are interested in Recurrent-PPO-Jax are comparing it to the libraries listed below
Sorting:
- Generalised UDRL☆37Updated 3 years ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated 2 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
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆18Updated 2 years ago
- A PyTorch Implementation of PlaNet: A Deep Planning Network for Reinforcement Learning☆12Updated 5 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Updated 2 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆38Updated 7 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 3 months ago
- Mirror Descent Policy Optimization☆40Updated 4 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆45Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Docker containers of baseline agents for the Crafter environment☆29Updated 3 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆20Updated 3 years ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Sandbox environment for generalizable agent research☆25Updated 3 years ago
- Vectorization techniques for fast population-based training.☆56Updated 3 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 4 years ago
- Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M …☆44Updated 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 3 years ago
- 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. a…☆22Updated 4 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 4 years ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆72Updated 4 months ago
- My Body Is A Cage☆41Updated 4 years ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆23Updated 2 years ago