abhisheknaik96 / average-reward-methodsLinks
Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"
☆15Updated 4 years ago
Alternatives and similar repositories for average-reward-methods
Users that are interested in average-reward-methods are comparing it to the libraries listed below
Sorting:
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- PAIRED in PyTorch 🔥☆64Updated 2 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆76Updated 2 years ago
- Tutorials on learning and using successor representations.☆54Updated 6 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆152Updated 4 years ago
- Partially Observable Process Gym☆211Updated 7 months ago
- impact-driven-exploration☆132Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- ☆53Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year
- Library to compare and evaluate reward functions☆67Updated 2 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- Benchmark environments for reward modelling and imitation learning algorithms.☆46Updated 2 years ago
- ☆125Updated 2 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- Benchmarking RL generalization in an interpretable way.☆174Updated last month
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- ☆101Updated last year
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆162Updated 4 years ago
- ☆28Updated 3 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆120Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 2 years ago
- ☆89Updated last year
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago
- Multi Task RL Baselines☆258Updated 4 years ago
- A standalone release of DeepMind Lab's maze generator with Python bindings.☆67Updated 2 years ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆193Updated 4 years ago