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:
- 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 last year
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- A PyTorch Implementation of PlaNet: A Deep Planning Network for Reinforcement Learning☆12Updated 4 years ago
- Generalised UDRL☆37Updated 3 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆11Updated 2 years ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated last month
- Deep Reinforcement Learning Framework done with PyTorch☆37Updated 5 months ago
- The implementation of Discriminator Soft Actor Critic☆15Updated 5 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆20Updated 2 years ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆18Updated 10 months ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Mirror Descent Policy Optimization☆38Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆17Updated 2 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 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
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆17Updated 3 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆18Updated 4 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆31Updated 2 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- Reinforcement Learning inside a 3D soccer simulation☆29Updated 11 months ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago