MarcoMeter / neroRLLinks
Deep Reinforcement Learning Framework done with PyTorch
☆36Updated 3 months ago
Alternatives and similar repositories for neroRL
Users that are interested in neroRL are comparing it to the libraries listed below
Sorting:
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆56Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 7 months ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆100Updated 7 months ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆47Updated 4 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆114Updated 3 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆39Updated 4 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- ☆42Updated 2 years ago
- A collection of RL algorithms written in JAX.☆98Updated 2 years ago
- Code for Sibling Rivalry and experiments presented in associated paper☆17Updated last month
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆50Updated last month
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆75Updated last year
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 11 months ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- The Starcraft Multi-Agent challenge lite☆42Updated 9 months ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆74Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 4 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆93Updated 11 months ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆53Updated last month
- My Body Is A Cage☆41Updated 4 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆39Updated 2 years ago
- ☆18Updated 2 years ago
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆38Updated last year
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Updated 5 years ago