subho406 / Recurrent-PPO-Jax
Implementation of Proximal Policy Optimization in Jax+Flax
☆18Updated last year
Alternatives and similar repositories for Recurrent-PPO-Jax:
Users that are interested in Recurrent-PPO-Jax are comparing it to the libraries listed below
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- An implementation of DreamerV2 written in JAX, with support for running multiple random seeds of an experiment on a single GPU.☆15Updated 2 years ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 2 years ago
- ☆23Updated 10 months ago
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…☆18Updated 3 years ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated 11 months ago
- Generalised UDRL☆37Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 4 months ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- The official implementation of Memory-efficient DQN algorithm.☆10Updated last year
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆37Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆9Updated last year
- Deep Reinforcement Learning Framework done with PyTorch☆34Updated last week
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆16Updated 2 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆22Updated 11 months ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆18Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆36Updated 2 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆25Updated 3 years ago
- A PyTorch Implementation of PlaNet: A Deep Planning Network for Reinforcement Learning☆12Updated 4 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated last year
- ☆21Updated 11 months ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆9Updated last year
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆16Updated 3 years ago
- [ICML 2023] Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills☆12Updated last year
- More efficient exploration for reinforcement learning in two-player, zero-sum game☆20Updated 7 months ago