ingambe / RayEnvWrapperLinks
OpenAi's gym environment wrapper to vectorize them with Ray
☆23Updated 2 years ago
Alternatives and similar repositories for RayEnvWrapper
Users that are interested in RayEnvWrapper are comparing it to the libraries listed below
Sorting:
- Modular Single-file Reinfocement Learning Algorithms Library☆37Updated 2 years ago
- A modular implementation of PPO, and soon hopefully other algorithms.☆26Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆39Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- The Starcraft Multi-Agent challenge lite☆42Updated 9 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated 3 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 7 months ago
- ☆21Updated last year
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- Tabular methods for reinforcement learning☆38Updated 4 years ago
- ☆18Updated 2 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆51Updated 2 years ago
- ☆76Updated last year
- ☆36Updated 2 years ago
- DecentralizedLearning☆24Updated 2 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆53Updated last month
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020☆52Updated 11 months ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 4 months ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- A collection of matrix games in JAX☆11Updated 6 months ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago
- ☆42Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆11Updated 2 years ago