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Reinforcement Learning
🎯 Reinforcement Learning
RL, reward, policy gradient, agent, Q-learning
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Performance Variation in
Deep
Reinforcement
Learning
🧠
Active Inference
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Performance Variation in Deep Reinforcement Learning
Reasoning
RL
in 2026: GRPO, DPO, RLVR,
Agentic
PO
& Beyond
⚡
Empowerment
turingpost.com
·
3d
3 days ago
Actions for Reasoning RL in 2026: GRPO, DPO, RLVR, Agentic PO & Beyond
Researchers develop AI-powered railway control system for efficient urban train operation
🦾
Bio inspired robotics
techxplore.com
·
1h
1 hour ago
Actions for Researchers develop AI-powered railway control system for efficient urban train operation
Q-Learning
(
Reinforcement
learning
): Bellman Equation,
Markov
Decision Processes, Q-Values, and…
⚙️
Computational Mechanics
Content type:
Blog
medium.com
·
1d
1 day ago
Actions for Q-Learning (Reinforcement learning): Bellman Equation, Markov Decision Processes, Q-Values, and…
DDPG from Scratch: 400-Line PyTorch Implementation
🧠
Synaptic pruning
tildalice.io
·
6d
6 days ago
Actions for DDPG from Scratch: 400-Line PyTorch Implementation
SimarcLabs/pybullet-swarm-sim: Python framework for simulating drone swarms with PyBullet in seconds.
🐝
Collective Intelligence
Content type:
Code
github.com
·
2d
2 days ago
·
r/opensource
Actions for SimarcLabs/pybullet-swarm-sim: Python framework for simulating drone swarms with PyBullet in seconds.
Test-Time
Gradient
Guidance of Flow
Policies
in
Reinforcement
Learning
🧠
Active Inference
Content type:
Academic
arxiv.org
·
10h
10 hours ago
Actions for Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning
Reinforcement
Learning
and
Optimal
Control Book (RIP Dimitri Bertsekas)
⚙️
Computational Mechanics
Content type:
Academic
web.mit.edu
·
5d
5 days ago
·
Hacker News
Actions for Reinforcement Learning and Optimal Control Book (RIP Dimitri Bertsekas)
Towards Shutdownable
Agents
: Generalizing Stochastic Choice in
RL
Agents
and LLMs
🧠
Active Inference
lesswrong.com
·
6d
6 days ago
Actions for Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMs
Fast and Highly Expressive
Policy
Learning
for Offline
Reinforcement
Learning
via Bootstrapped Flow
Q-Learning
🧠
Active Inference
Content type:
Academic
arxiv.org
·
10h
10 hours ago
Actions for Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning
Good teachers don’t cheat
📡
Information Theory
Content type:
Blog
jasonkena.github.io
·
6d
6 days ago
·
Hacker News
Actions for Good teachers don’t cheat
Uncertainty-Aware LLM-Guided
Policy
Shaping for
Sparse-Reward
Reinforcement
Learning
🧠
Active Inference
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning
Geometrically Averaged Hard Target Updates for Linear
Q-Learning
📐
Information geometry
Content type:
Academic
arxiv.org
·
10h
10 hours ago
Actions for Geometrically Averaged Hard Target Updates for Linear Q-Learning
SocraticPO:
Policy
Optimization
via Interactive Guidance
🔄
Continual Learning
Content type:
Academic
arxiv.org
·
10h
10 hours ago
Actions for SocraticPO: Policy Optimization via Interactive Guidance
Event-Driven
Reinforcement
Learning
Enables Long-Horizon Control in Semiconductor Fabrication
🌐
Complex Systems
Content type:
Academic
arxiv.org
·
10h
10 hours ago
Actions for Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor Fabrication
TT-DAC-PS: Twin-Target Deterministic
Actor-Critic
with
Policy
Smoothing for Optimal Trade Execution
🧬
Evolutionary Computation
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for TT-DAC-PS: Twin-Target Deterministic Actor-Critic with Policy Smoothing for Optimal Trade Execution
3SPO: State-Score-Supervised
Policy
Optimization
for LLM
Agents
🧬
Evolutionary Computation
Content type:
Academic
arxiv.org
·
10h
10 hours ago
Actions for 3SPO: State-Score-Supervised Policy Optimization for LLM Agents
Towards End to End Motion Planning and Execution for Autonomous Underwater Vehicles Using
Reinforcement
Learning
🔄
Continual Learning
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Towards End to End Motion Planning and Execution for Autonomous Underwater Vehicles Using Reinforcement Learning
SHAPO: Sharpness-Aware
Policy
Optimization
for Safe Exploration
🧠
Active Inference
Content type:
Academic
arxiv.org
·
10h
10 hours ago
Actions for SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration
Variational
Proximal
Policy
Optimization
🧠
Active Inference
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Variational Proximal Policy Optimization
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