tseyde / decqn

Related projects ⓘ

Alternatives and complementary repositories for decqn

• ikostrikov / dmcgym
  ☆23Updated 2 years ago
• ikostrikov / jaxrl2
  ☆42Updated last year
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆57Updated 5 months ago
• martius-lab / pink-noise-rl
  ☆37Updated last year
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆61Updated 4 months ago
• RyanNavillus / reward-surfaces
  ☆15Updated 6 months ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• perrin-isir / xpag
  a modular reinforcement learning library with JAX agents
  ☆22Updated 11 months ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆34Updated 2 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆35Updated last year
• omron-sinicx / action-constrained-RL-benchmark
  ☆20Updated 6 months ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆31Updated last year
• sahandrez / homomorphic_policy_gradient
  Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024
  ☆22Updated 7 months ago
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆37Updated last year
• yuchen-x / MacroMARL
  ☆21Updated 6 months ago
• hari-sikchi / DVL
  A Dual-RL method DVL: Dual-V Learning for offline and online reinforcement learning
  ☆9Updated last year
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆79Updated last year
• frt03 / inference-based-rl
  Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)
  ☆20Updated 3 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆36Updated 2 years ago
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆26Updated last year
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆21Updated 6 months ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• proceduralia / high_replay_ratio_continuous_control
  Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"
  ☆21Updated last year
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆29Updated 2 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆35Updated last week
• qgallouedec / lge
  ☆29Updated 7 months ago
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆50Updated last year
• StoneT2000 / robojax
  A high-performance reinforcement learning library in jax specialized for robotic learning
  ☆22Updated last year